sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
597067a2ae6313361545c7be724ab953d5716c57f66527f7b4181bdb09567e8c | Perl | 6,416 | 164 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use Miner;
my $snippetBefore = 20;
my $snippetAfter = 35;
my $maxChar = 160;
my $usage = <<END
crossrefSnippets.pl -tokenfile token -papers epmc_pop.papers -dir cache -out snippets
The token file should contain a single lin... |
841bcfec4fe119257729f8abd475d5e28efa80f861f53de73da27b4f3c93083a | Perl | 6,695 | 219 | #!/usr/bin/perl -w
# submitter.pl -- submit jobs and wait for them to finish
use strict;
use POSIX qw(sys_wait_h);
my $debug = 0;
my $wait = 2;
my $verbose = 0;
my $nCPUs = $ENV{MC_CORES} || (`egrep -c '^processor' /proc/cpuinfo`);
my $maxload = $ENV{SUBMITTER_MAXLOAD} || $ENV{MC_CORES} || $nCPUs+1;
my $n = $ENV{SUBM... |
975339205a4badda94579850ebf7f159dad4e14dbcf948370501f39e2babc681 | Perl | 6,743 | 170 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use FindBin qw{$RealBin};
use lib "$RealBin/../lib";
use Steps qw{ReadOrgTable};
use pbutils qw{ReadTable NewerThan};
use DBI;
my $stepBase = "$RealBin/../gaps";
my $resultsDir = "$RealBin/../tmp";
my $set = "aa";
my ($stepDir, $queryDir);
my $usage = <<END
checkCurate... |
5926d544854a1a43a38ac76c4082a06c45d1041ae7e59e1968e8e0e3f714e95b | Perl | 6,846 | 185 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use LWP::UserAgent;
use LWP::Simple qw(get);
use JSON;
use FindBin qw{$RealBin};
use lib "$RealBin/../lib";
use pbutils qw{ReadTable};
my $usage = <<END
loadProdoric.pl -out directory > curated_parsed
Fetches all protein information, references, and weight matrices fro... |
972311f80da3661f9ff6cfda0507171d052c050ce51abe322470a047cbffd94b | Perl | 6,952 | 177 | #!/usr/bin/perl -w
# The last phase of the pipeline: building the database
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use pbutils;
use DBI;
my @allsteps = qw{sprot ecocyc biolip db stats compare pdbclust};
my $allsteps = join(",",@allsteps);
my $comparedir = "$Bin/../data";
my $usage =... |
8caac65583fe754f8072bb0eaddde4dc50e84932123c096edadc87cea7d2eb00 | Perl | 7,266 | 167 | #!/usr/bin/perl -w
# The fourth phase of the pipeline: identifying snippets
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use pbutils;
my @allsteps = qw{parse pmclinks oa am elsevier crossref pubmed comb generif stats};
my $allsteps = join(",", @allsteps);
my $usage = <<END
run_snippets.pl... |
f0343bccd63d3e019c162c81120e286f5264bf6b25f12bb9db3ee886b561ddb4 | Perl | 8,398 | 208 | #!/usr/bin/perl -w
# Given the hits from querying EuropePMC, look for any expected hits from the
# EuropePMC-provided links to UniProt and to PubMed. For these, create a new
# hits file. Calls pubmedFields.pl to get the metadata about the papers
use strict;
use FindBin qw{$Bin};
use Getopt::Long;
my $usage = <<END
ad... |
d057b24b4a72b9b7911b896b85bd3a6815a598acdea32ac1c79daf021d992155 | Perl | 8,877 | 245 | #!/usr/bin/perl -w
# The first phase of the pipeline: downloading
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use pbutils;
my @allsteps = qw{ecocyc oa am pmclinks refseq generif pubmed uniprot pdb biolip};
my $dosteps = join(",", @allsteps);
my $usage = <<END
download.pl -dir downloads ... |
57407c5a219de065143142702d8bb5b7b130d2013baf0cc677dc2d9017f43c88 | Perl | 9,212 | 235 | #!/usr/bin/perl -w
use strict;
use DBI;
use Getopt::Long;
use FindBin qw{$RealBin};
my $minCoverage = 0.7;
my $minIdentity = 0.35;
my $usage = <<END
compareStepDbs.pl -in oldDir newDir
Compares two directories that contain curated.db, curated.faa.udb, and
steps.db. This is most useful to see the impact of changing to... |
548f1d3de792700715573b7b17990b42639be96e65862bc1445bb3d46e1b79c6 | Perl | 9,880 | 351 | #!/usr/bin/perl -w
# Join unsorted files, using lots of memory
#
# Example:
#
# ./join.pl -match Gene1ID=Gene1ID,Gene2ID=Gene2ID -keep 1.Group,1.Gene1ID,1.Gene1Name,1.Gene2ID,1.Gene2Name -rename 12.FisherLarge=flGitton&flOurs,12.LinearR=rGitton&rOurs /data/Gitton2002/clusters.Mm.comparisons /data/mouse-unigene-nov02/Gi... |
2d5aacbb0c7bb63f273fc8594055f98b84984c88fd8604df5c6578ccaec75acc | Perl | 10,385 | 299 | #!/usr/bin/perl -w
# Build the sqlite3 database of curated proteins for GapMind and Curated Clusters
use strict;
use DBI;
use Getopt::Long;
use FindBin qw{$RealBin};
use lib "$RealBin/../lib";
use pbutils qw{ReadFastaEntry ReadTable SqliteImport};
sub DescToEc($);
my $staticDir = "$RealBin/../static";
my $usage = <<EN... |
a81f53961c0d3f12a08ed05a5a90e6d4b80f9438df2489c0749a7b8fffb4d368 | Perl | 10,902 | 274 | #!/usr/bin/perl -w
# The second phase of the pipeline: identifying query terms
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use pbutils;
my @allsteps = qw{explodeam explodeeco parsepm pm pmc am mo generif refseq sprot byorg comb stats};
my $allsteps = join(",",@allsteps);
my $usage = <<E... |
f73448a693d84bc1e6d673e43d1dda9b0da7b5c180d8144b12a781aaff63ab73 | Perl | 10,910 | 274 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use pbutils; # for ReadFastaEntry
sub PrintCuratedParsed($$$$);
my $usage = <<END
Usage: parse_BRENDA.pl -in brenda_download.txt -faa uniprot_fasta trembl_fasta -out BRENDA
The input should be the brenda_download.txt file ... |
854c11f2c90032b6db4c2800a482ab19c8a4a28e7e4dd46269701c32e3ac3fd5 | Perl | 12,024 | 306 | #!/usr/bin/perl -w
# Given the relevant queries (from gapquery.pl),
# execute the searches and make a table of hits (potential candidates)
# Operates on orgs files from buildorgs.pl
use strict;
use Getopt::Long;
use DBI;
use FindBin qw($RealBin);
use lib "$RealBin/../lib";
use pbutils qw{ReadTable};
use Steps qw{ReadO... |
601372d21d4051865fc77c32362676a8036bedec4ae7f09a8efc85982d3985e0 | Perl | 13,245 | 319 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use FindBin qw{$Bin};
use File::Which;
use IO::Handle; # for autoflush
my $usage = <<END
buildLitDb.pl -dir dir -snippets snippetsFile -prefix prefix1 ... prefixN
[ -rif generif_tab.rif ]
[ -curated curated_files ]
[ -blastdir blast ]
E... |
20fa8b1b8a8acd5ac0b1ac2010c870a0110f4c46c91ac32036ee103865bdb23f | Perl | 13,687 | 361 | #!/usr/bin/perl -w
# Build the sqlite3 database of steps for GapMind
use strict;
use strict;
use DBI;
use Getopt::Long;
use FindBin qw{$RealBin};
use lib "$RealBin/../lib";
use Steps;
use pbutils qw{ReadTable ReadFastaEntry SqliteImport};
my $usage = <<END
Usage: buildStepsDb.pl -set set [ -dir tmp/path.set ]
Assumes... |
6c6728aa9198556b52fb00ff36b497a4e09b67c3bebdfaba2d643fad95226edd | Perl | 16,038 | 404 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use FindBin qw{$Bin};
use lib "$Bin/../lib";
use pbutils qw{ReadFastaEntry SQLiteLine};
my $outdir = ".";
my @outtypes = qw{binding modified functional mutagenesis};
my %outtypes = map { $_ => 1 } @outtypes;
my $usage = <<END
Usage: buildSiteTables.pl -sprot sprotFt.tab... |
0842c958ef8f563ebac9b7c9c8d932e81b93f27fec3fa9b93bf41feaab79b5aa | Perl | 17,262 | 453 | #!/usr/bin/perl -w
use strict;
use Getopt::Long;
use FindBin qw($Bin);
use lib "$Bin/../lib";
use pbutils; # for ParsePTools, ReadFastaEntry
my $usage = <<END
Usage: parse_metacyc.pl -data directory -faa uniprot_fasta trembl_fasta -out out
The data directory must contain proteins.dat, enzrxns.dat, and
reactions.dat (... |
c3b8c82458debb331b50ed37f39c90dc50410b34b68699f2074a75301613043c | Perl | 17,662 | 443 | #!/usr/bin/perl -w
# Find the relevant queries for a set of gaps
# Operates on the PaperBLAST database
use strict;
use Getopt::Long;
use DBI;
use FindBin qw($Bin $RealBin);
use lib "$RealBin/../lib";
use Steps qw{ReadSteps FetchUniProtSequence};
use pbutils qw{ReadTable ReadFastaEntry CuratedWordMatch};
# The argumen... |
ee9d242ef4d4c18fd4fdba08ab42071deca78588264e0efc15ef7f15966570bb | Perl | 38,090 | 846 | #!/usr/bin/perl -w
# Identify the best candidates for each step, score them, and score the rules
use strict;
use Getopt::Long;
use List::Util qw{min max};
use FindBin qw{$RealBin};
use DBI;
use lib "$RealBin/../lib";
use pbutils qw{ReadTable};
use Steps qw{ReadOrgTable ReadOrgProtein ParseOrgLocus};
my $maxCand = 5;
m... |
5881b99a09e8a0231c256102c6a310116383eddd39b8d227c701fe4854013ba1 | Perl | 200,058 | 236 | use strict;
#use warnings;
print STDERR "gene symbol column number: ";
my $geneSymbolCol=<STDIN>;
chomp($geneSymbolCol);
$geneSymbolCol--;
my $expFile="probe.txt";
my $gplFile="ann.txt";
my $expFileWF="geneMatrix.txt";
my %hash=();
my @sampleName=();
open(EXP,"$expFile") or die $!;
while(my $exp=<EXP>... |
6dfdc10b57eab55da46df719132d379d012c9e311cb7ce4b8e30a92ad99bb14d | Python | 11 | 1 | # __init__
|
157f6dbe53b55e14c38adf1f3d17f3018e41afe6fa1b1e33728c73e1bede68e5 | Python | 12 | 2 | # __init__
|
d1e5457d57766995d364715770b667164f0c7ed208e1c321441058b771e6dcb2 | Python | 13 | 1 | # noqa: D104
|
41355c904139f808de795d27e89964ba9e322119b2c83215fc8348f8b245d089 | Python | 18 | 1 | """Main module"""
|
9ca1d0aefb250eaf21eb83a258edb45600e96d0e727e4215ead280d40b3fa596 | Python | 18 | 1 | name = "lang2vec"
|
3fa50be8499372df409eeb50fb9a66131b35049bca3291db971c189d97366b61 | Python | 21 | 1 | from .dec import DEC
|
6642786059ea7dfe42c079ea52ea4fb0055ab6a0f86a8ce4ae1d6efa242bbcc7 | Python | 21 | 1 | __version__ = '0.0.2' |
ab9f52dce5ec739548f23eaf483d2c18133293acd9e2f58544413cf3208960ab | Python | 21 | 1 | __version__ = "3.10"
|
aff70aafbb1b006f305ef650fb95a40b679718a3035a9e977bf84d5eee37313d | Python | 21 | 1 | __version__ = '0.1.2' |
ba0cae165884aad0304261f8b1395cd7a6172986c558399fca4f3b7c4ac1f3ef | Python | 21 | 1 | __version__ = "0.0.1" |
410d328d9427bd733b25e2cb6446565fa3665543eed65491396397178f7f82e8 | Python | 22 | 1 | __version__ = '0.2.2'
|
4f2a09af97b7c844e97e7e82aa9e4ac29c1e8aa68335928a84aecded4f351954 | Python | 22 | 1 | __version__ = '1.2.2'
|
6f0107b706ca4a4fbfddbe2a525cf8d50877cd88b2043aeb448d66eb876e6f99 | Python | 22 | 1 | __version__ = "2.0.16" |
903ef34c8d70d5748b4880ea9714916ff2fff4f92a08be7debcc8dac9af6223d | Python | 22 | 1 | from ._cli import cli
|
ae739b3e3b817044ada923b44ba82c752fe8b7c2133908d58fff8fd4b5146298 | Python | 22 | 1 | __version__ = "0.1.1"
|
c12872f587c17eba33d078d11ff68d35e86412ed7f3cbb1dfc68d35396820cf9 | Python | 22 | 1 | __version__ = '1.5.0'
|
ce2fcb6944ff3ac0a102db0f5db39e4694240a8852b0ec9e5df6af40f3341a81 | Python | 22 | 1 | __version__ = '1.3.0'
|
d66a6d13342285b772aaaccc81d9ecfe3e5918af60cfb851d9bb2003f4e78cee | Python | 22 | 1 | __version__ = "0.0.4"
|
16b7c4c1702c6dce623eb61d3edf7dcbfbe3211fada26391592491b3676aa970 | Python | 24 | 1 | from .coder import Coder |
9024f757e0927d71bc6e221d91657d165a7c3ea9761addade91fcfcc94fffd1d | Python | 26 | 1 | """Tests for sbmlcore."""
|
62bdcbe4dbd295a03ec94eb2de5f901af6232b98cd6a60fae44b9b2bc083947d | Python | 29 | 1 | from .cli import aretomo_cli
|
b73c0c1ff7e141eb9bc0ca877528af6ac83571181349b360d8288c567ccc9b25 | Python | 29 | 1 | """Index interaction code"""
|
6d8b7d7846a845059d7a3107143f11131f63c5511d669b44085b15ec5e3d2279 | Python | 30 | 3 | from .cli import main
main()
|
99fb46a913aa1aaa9396c83c5916c831a22f2a419d68d84b6bcb0297b46ac360 | Python | 30 | 1 | """Synthetic toy datasets."""
|
af3b0ba4fe619493c6fa96947374f1d9c5e04f7ce826985e6b2cf6fb4a03e920 | Python | 30 | 1 | from .neural_network import *
|
1e37a39007f9a1c3ec8e4b1279b46888f1511461f9e11bcd23ead64919a6dae8 | Python | 31 | 1 | from .incmodel import IncModel
|
02ed6af96c5064e6316f410ea82d8103952c6e38ce7f7ab97e6e6b181a9769bc | Python | 33 | 1 | from escargot.multiagent import * |
f426c64187248679a56cb306b04640c0493f85b44fbc5218fa3aca2d6766c767 | Python | 33 | 1 | """For testing utils.py file."""
|
10459d0e7bc5840f5056e8ef8291d712d1233baa29c27f3db430d6d73ee87d61 | Python | 34 | 1 | from .main import CrystalTracerApp |
29c52ea5488406af65246640396ecc5ca6e66571fd74097a9501a3ca53d6c504 | Python | 34 | 1 | from ToM2.envs.grid_env1 import *
|
68a55c6ce5ca93ec0a985b3dd9c433691b591b06f3fae756f20118d8f208b539 | Python | 34 | 1 | from .formisano_protocol import *
|
ec71dd8d1f361420667edc0c472ae585c123fbc98641bea8087fb09543c7e0dc | Python | 34 | 1 | from numpy.version import version
|
473dfcc6c2c01c4c84c08b8992c7a3604c44ce794f25bf6d473c09ec91bd2f5b | Python | 35 | 1 | from .controller import Controller
|
6927d33efbafcf3414c4422b1940125aec1c56fe94c396ef9055efaa38515753 | Python | 35 | 2 | class BaseExtensionTests:
pass
|
f43e6f5aadede4842484efbfb1df9af78a8c927e627a31a247e561da496a7f9e | Python | 35 | 1 | from . import blocks, config, logs
|
aa47a4240023aef7a21feb1b511f66f18ac8a37dce906dd19f280c9be0eb2cca | Python | 36 | 2 | from .Experiment import Experiment
|
07a11c06939f8b1a136696abc3b92af64dce05b56bacf8d748607c2eafae5172 | Python | 37 | 1 | __version__ = "stereoscope : 0.3.1"
|
31013ddafdb853fd8dcd33495d33fbe66c669fb2c15405caa026cb4fc15bd1a1 | Python | 38 | 1 | from .tilt_series import RlnTiltSeries |
77d1bc3c4f20c2f16b206d7f4ed8b313572da603208c1c1780c7c95190c22d55 | Python | 38 | 1 | """Unit test package for arcos4py."""
|
dc203e67b5a983a5459b405ad6a3ae49b58aab01da20dc4e2bac28a799dcbc2d | Python | 38 | 1 | from .create_prerandom_orders import * |
089da15537d030e334338f6bcdb3653fcdacd22bd5069d360202349750393be1 | Python | 40 | 1 | from src.argus_models import MouseModel
|
162a3c93b076ce2f0c4306b41eb8b323eedf09c41966819d0908f49725969ff2 | Python | 40 | 1 | """Miscellaneous plotting functions."""
|
797929f43f75c07535291629a99aa6b2a4caf50d4c09e4b900a618bdf75248d5 | Python | 40 | 1 | """Tools for plotting temporal data."""
|
c82db044c321f50e5e0f1a2962b6d415a508f136d1dfbcc1e2760c339d5359f8 | Python | 40 | 2 | from .TQA import *
from .utils import *
|
f14049fb3990da77115f3129df59e81654591e363764203230d7da1168a564b3 | Python | 40 | 1 | """Tools for geometric calculations."""
|
17abafe12957ad4d9ba17f0ff125c301c6d59d6a5c664ed130e07b1d2cf52c18 | Python | 41 | 1 | from .bnt import BrainNetworkTransformer
|
2033229ce3dfbee1a8708014707dca27f4e52dcaa73959c06ac624b7f350f745 | Python | 41 | 1 | """Tools for creating synthetic data."""
|
293e35b5a79647e0b34fd51392eed496e89382b16576a9749671fd7b5dfd530a | Python | 41 | 1 | """Tools for modelling fNIRS signals."""
|
50b56e02a85e9446fda202be794ce84bfd14ccbcb63bc99e32a95c331b395e47 | Python | 41 | 3 | """
Spike sorting results evaluation
"""
|
637e414ac478054fc70ffaeb5c73eaf308fcf8a7660a4d892c68a1c235f62d0a | Python | 41 | 1 | """Tests for the dereplicate workflow"""
|
95dd14943bff222f5780afc2314830c64f283b6f93a2928036807f99b5f801c6 | Python | 41 | 1 | from escargot.memory.memory import Memory |
3301f1c91de6de85c56cf5fc041bbe415b9bb764f1ee1b3a71329637a1c68afc | Python | 42 | 2 | from . import train
__version__ = '1.0.0'
|
683583c0c0d945b4362abba4cbe7a82084c0b9e7bc3eb7bcb3541484d1bf4c7c | Python | 43 | 3 | from .gwdt import gwdt
__all__ = ['gwdt']
|
7cdc04d8569b0487b3c4ca72118d942e77f8b902d2eb131eaeb891ee7a6e7e07 | Python | 43 | 2 | """Functionality for time-domain NIRS."""
|
9193de7764d9ba44a3e90b89d1cac659dc90673ab513263196462448c794c963 | Python | 44 | 2 | from .models import *
from .losses import *
|
93780b6625342590af3406db3e35d077a49bd59c5353a75994bce41662c3a101 | Python | 44 | 2 | from .memgraph import *
from .neo4j import * |
939102e550849664ca25b97873eee81a3269fffb379f976dca42dd8499b78e65 | Python | 46 | 1 | """Contains tests for distance calculation"""
|
c938f6870bc1ea1adbfc15fed38bf4d16b247b59ef9c51330cb9a4566ec53f5c | Python | 46 | 1 | """Contains tests for file input functions"""
|
5a1627ca37b3141ecf38b8e5d0b80f10ae54534ce91bc21545273500e4721913 | Python | 47 | 1 | __all__ = ["ViSNetBlock", "EquivariantScalar"]
|
c0ae794bcb15ed8735316ccb341fb4f3fa4c8f67186cf80e321b2e147d9ac799 | Python | 47 | 1 | """Functionality for frequency-domain NIRS."""
|
c48f5eb9b460ffe6ad14525d263f647710fcbdc87d7793fa7c2db340a6bc4883 | Python | 47 | 1 | """Contains tests for diagnostics functions"""
|
d2bb89b48479d8ea83914889404a729f6e8632acc8fc39177d24b109e8253155 | Python | 47 | 1 | """Multimodal signal decomposition methods."""
|
d978a5d5ab7b9740703ab1dce65f025a23f5774673de826f6d7fdbadd43f383f | Python | 47 | 1 | """Contains tests for benchmarking workflow"""
|
eb9edf0d2bebef428a37fa3feacf3ad9f595fc0ba16ebdf9e4ca6e099e1eab92 | Python | 47 | 3 | from .chronognosis import *
__all__ = ['main'] |
32de3af06deebfc09898eabe830a913e7ce89f075d14935de305b3178aea2b24 | Python | 48 | 1 | """Contains tests for database functionality"""
|
c2adcd2dc00f9fad7c20bdb016ae7d9198c029c2037ed9069df89f381336e54d | Python | 48 | 3 | from yass.phy.run import run
__all__ = ['run']
|
12fdf278d34b65535693dc59ba20886ce0d82b043a5df606a48e5602862fb689 | Python | 49 | 1 | from ._user_array_impl import __doc__, container
|
14ccb4e8ffffcba8cc8d473ccf765c41d285fa9999db3335e3fbc17873c68542 | Python | 49 | 1 | """Contains purely network-related utilities."""
|
e1b70f3950461e786eb65dd0df6a4cbc13415f3f603087a81379c536728f96df | Python | 49 | 1 | from dp5.dft.base_dft_method import BaseDFTMethod |
6a4f941137103ca94565a5a860a5aee505576e9141be0d2c5dcde2d0ee2f4986 | Python | 50 | 1 | """For modules related to installing packages."""
|
7bbe18e49cb561a2f4cd86e2517a4afd4ee441d8fb1af4aaeced8f0905b3aa95 | Python | 50 | 1 | from escargot.parser.parser import ESCARGOTParser
|
06d0e45131b885d092c01e13199ebb384dc8c55095f610c5875a5d5bd925fd82 | Python | 51 | 1 | from .image import load_mrtrix, save_mrtrix, Image
|
44c24582c1fdb11b7a0d26421cc378b0739cdc43c378a8791bec685d4b95d440 | Python | 51 | 1 | """Contains integration tests for all workflows"""
|
a56cc2ba5c1a0bb02b84ea4e15a4e6a9d6257a800b4c5de1d0862743227049ed | Python | 51 | 3 | from yass.augment.run import run
__all__ = ['run'] |
66881d1f986e42820552f146810e12fdbd96120f42a0fc34fe9697c9881d18c0 | Python | 52 | 1 | from .builder import get_encoder, has_CONCH, has_UNI |
f80b9c36d21d8e403057402fcccf7abff0683b184c97a3d64d82fcc82a1cdec4 | Python | 52 | 3 | from . import descriptor
from . import fingerprint
|
002d40ff5f01190e30572ac78e14a34b1675214878c3548aee44727e6b1fef4e | Python | 53 | 1 | from .spherical_harmonics import spherical_harmonics
|
a1d5af48fe7eb8e9dcf9821b319502a84d2e385250d936f5b0aa2b4cb88e1255 | Python | 54 | 2 | __version__ = '0.0.3'
from escargot.escargot import *
|
b42a31e92683b8c800cf2b4cec2840fe8afb5d70aa9a44fa7c66ef60b854fdb5 | Python | 54 | 4 | from yass.residual.run import run
__all__ = ['run']
|
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