sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
566048595a1a11301a5618812f9ef9b5d01637c816eb35a2fe4d32dc80147b23 | MATLAB | 18 | 1 | 954.6066972300001
|
56a0e5bb25f6be5a6dfa46ea890e729c049077a2da502f99ed6fdda09e5e7808 | MATLAB | 18 | 1 | 98.90737972000001
|
5b7a887cf5736127bebc48be35d317a352be0d315071d1ec564b947f3ea2f68a | MATLAB | 18 | 1 | 693.2410206970002
|
68e309d82697def0443e6ed07e78a04883a877148fe7af7482b1b53f990454a1 | MATLAB | 18 | 1 | addpath('matlab'); |
6b179b264f5c3680b4973e67872d4cb927ec55c593efecef8856de86b270653a | MATLAB | 18 | 1 | 2189.756645239999
|
7153ab4f08a419c68f116d3b0c68464f013dde48f3a949b2c58b342ce122d7a0 | MATLAB | 18 | 1 | 761.9798500730003
|
818ab392fb5f5ace3e99c021019cdbcf4630ba200108b9c56fc57b8d0abefcb1 | MATLAB | 18 | 1 | 748.6933438800002
|
869eaf2d960a1e1885b2ce8a4ad50d45dadbd2a2aefea97968c2772f32275d2e | MATLAB | 18 | 1 | 472.5042676699999
|
88cdc213510ccd77b68aa0f0b4998c2730c534a77ff7c8d2af0556468938a6e7 | MATLAB | 18 | 1 | 2669.257013520001
|
abb2a0341c9b08ee64be109a7561e394e1f978cfd609f73c2b62fe8f49b94b45 | MATLAB | 18 | 1 | 635.6549477329999
|
ce1d1f663d13246dcf4f2527ecb308595a57dd452561e63514dfe6c241dc3ca2 | MATLAB | 18 | 1 | 612.5791666380001
|
de9f25aebe69eb5b5ac5c10609ff08639be9ed69715274d8b49295f173595736 | MATLAB | 18 | 1 | 503.4322146309999
|
f3568578c452f139b2547969369a4900d3ec9f69669422942cf5d852ff42b416 | MATLAB | 18 | 1 | 730.6700612899999
|
fa18f9ed5de38e88e16ca4d128b416f9ca04fc1b7909064e4a057b56a89feabd | MATLAB | 18 | 1 | 957.4798736590002
|
ffa002d2b7c53f52ee16333831f23c89ed024ee0e374124388e2bd52e24415b7 | MATLAB | 18 | 1 | 856.7854396400003
|
03d6a5cc980c22f8a6e2dbec13ad4d316af89cd17899b88cb3d0e3f3c71a13c6 | MATLAB | 19 | 1 | 1133.3339643299998
|
125de34cac113c0988dbfdbaebdff7608d28893a44f941e5bf3dd2075d665bed | MATLAB | 19 | 1 | 2981.6866729299995
|
178e6381d78ee7995f028de724ceb370f76cfedd3373a25eeb3968d9e320cac9 | MATLAB | 19 | 1 | 1519.2663250499995
|
1e494437b7b39091740fde0cc28fcef58b053c07c4d0c8c9445fa2bcceaf6ea7 | MATLAB | 19 | 1 | 4600.6633983500005
|
1e8e2a93d89857351aadd92d67dafd639892559d1317ae15f1bc74eb14fd9fd4 | MATLAB | 19 | 1 | 204.92131733000002
|
23cdb595ec84a43d0b631ebc63e1916eeecde096b6203108d2ed2153fd144419 | MATLAB | 19 | 1 | 1566.6795880600007
|
26028e4b380bb6ccf3bd23aedfd34401d1575e848ff88feb966cd8e76bab9b91 | MATLAB | 19 | 1 | 2374.2849747600008
|
3359658fc7b230a91da384761e5c35f2d3c00651bd992777fe261d5f7f6fa1c9 | MATLAB | 19 | 1 | 1241.4501362200003
|
38e0d067e6c1cd73f52299f552206b7237cd003db154e01d471236863102f49f | MATLAB | 19 | 1 | 224.83458658000004
|
398d9683203c4a90ab4b6aafc61b253465e74291cc1d8c660de56798c741feff | MATLAB | 19 | 1 | 337.96430273000004
|
3a7f8b5afc2d3f229da301ffc25e7ad1c62e373589fa45b5d0d168c8c678a3b0 | MATLAB | 19 | 1 | 141.37177932999998
|
4905844bdfd84d5becf5cc93415a53fcc84fcd34f802c6803c4e895082c2835a | MATLAB | 19 | 1 | 179.75763240999996
|
4b2c636ff48e73ab1fa8573050bdbe51ab5b98207b698b645d036a0a82815cfe | MATLAB | 19 | 1 | 1709.8034375400002
|
4ffa24a039e29cdce971cdd9045e566e16baf45d055f5ad2ea190d58e68523d2 | MATLAB | 19 | 1 | 1966.9043566799999
|
52790a1681accd9e43d2430293423f9a7de42e8d81fd79db38f53972fb970dfc | MATLAB | 19 | 1 | 1321.4006116000003
|
635fcc0b29fe514cdd8350f45b5e0b46bef2a519c1880b4dcdc648c89a4890d0 | MATLAB | 19 | 1 | 270.72676685000005
|
67533a22ac1521ccbe6e94be860703db1f1a9bfde395a6510cf1c3700ab7d218 | MATLAB | 19 | 1 | 1823.6425150699995
|
7b654b73d2762fc3a1f1734e8845bcb79bcd3578147ffe904e58a798c426bfda | MATLAB | 19 | 1 | 2387.4227946500005
|
808bb7630efb0b13897c18e2c0f92c26426e11c7d069954c714a7197a001ce0c | MATLAB | 19 | 1 | 1644.0026672200001
|
809172039d7dcc27eb4e648278224c3ebb47277660b7709e043d7333778570e4 | MATLAB | 19 | 1 | 2561.1713718999995
|
964c6c827b7fb025cf9978aa1fba83e334b7cea9b620ae10aafff217ae8d02ec | MATLAB | 19 | 1 | 183.27916577000005
|
9919f70977ffaa38780f6f080bdad566513ba6e9505889767338ba663fc9d4db | MATLAB | 19 | 1 | 1377.9603278700001
|
9a6d15e59775007031aff458e8857824d339db8c810a4ec7f8fc44cd5ca9ee5e | MATLAB | 19 | 1 | 1497.5049393800002
|
9c0594b462778895a4494314a63636f4da33f5f63ba4a8a8c86da11664f61966 | MATLAB | 19 | 1 | 2828.3394402999998
|
9c60cdab362518808ae93a2aba4e88fb1004b4c7375ec225e2fe7dacc2206d4a | MATLAB | 19 | 1 | 365.93450567299993
|
a186c4bd2d3fac79dd6a51097e4de57d6c6281f45ab467d239972580c654f32e | MATLAB | 19 | 1 | 340.39719324000004
|
a2db8326e57d95ecf18c1f9cb7536939082fdb31be6ce5e675c9df591c482dd2 | MATLAB | 19 | 1 | 291.54257156999995
|
a4076c42a1304012070b05b991e6ebc2ad1fa3513900835c114d6b89fe5c3144 | MATLAB | 19 | 1 | 1374.7442341949995
|
aaa80fb2a5854107ae100ec240cd7fa6ea637b982a2e61657d06a26dd9648a46 | MATLAB | 19 | 1 | 1440.2185944100002
|
b003634689638d1e88cb702204cb78ba23a6c4b1a9233b28f92694200344dfc5 | MATLAB | 19 | 1 | 147.83686939499998
|
b6012d80b0f323dc21a3065ccc31e56639637621272585bbf0b419f36a6a5b5b | MATLAB | 19 | 1 | 1385.7191831999999
|
bf6b97d2162eba6cbeb7de870b69a4557802ab2e0e95e9a99b8a727d29b974d7 | MATLAB | 19 | 1 | 2592.3794264099997
|
d9dc1421aaae27491961fccf0a9138a1ac0f78bd53390f152725acfd7034e713 | MATLAB | 19 | 1 | 261.08840512999996
|
e4f883ee326b04a18a0f40aa5d9b75bedbcd8fe986ff67453fcfed968532341c | MATLAB | 19 | 1 | 1393.0356537100001
|
e65fd855f7f39ef8ad73f720396a6e8c8980b5c2b2ccdad5a6ca92407a8a3876 | MATLAB | 19 | 1 | 2816.9559643742587
|
f27d2f28ff41039d678daddcbe22353e25197c035c2c5f23ae283f2cd98455cb | MATLAB | 19 | 1 | 1055.5655911411366
|
f573ef9fa54d9c56c79792f0b3fe041e83a1d3e90dddaca547d2a0149d0e4d60 | MATLAB | 19 | 1 | 248.76124861900004
|
3285ecc435f2e0fda9f4b7d99fbb136e9ba3933ea14020a161f4a4d25a7a608c | MATLAB | 38 | 2 | % redirect to mx.misc.ccc
mx.misc.ccc |
be0c640acc4fba2bc490c38051557c1fa2084d1871e86e1214f9c97d1cf3f246 | MATLAB | 50 | 6 | function endFastrak(s)
fclose(s);
delete(s);
end |
8d408637f18d536fe50ccfe816d2522b846951514697ec74a61e487334d7483f | MATLAB | 58 | 1 | arrayfun(@(x) view([90,-90]),findobj(gcf,'Type','axes')) |
b878849fc27c5f5f83e6cfee1436582137b602f75d865cbc3bd2ff69d82e9206 | MATLAB | 61 | 3 | function nbFibersPerSqMm = explicit(nbFibersPerSqMm)
end
|
973a82123f134f07018c45edef200c9e8d9f09ae43fa4782b769706f6f256df1 | MATLAB | 65 | 5 | function c = Viemeister(depth)
c = (1+(depth.^2./2)).^(-0.5);
|
05596ae4d4e0f9adf0a1bae1cc2e5ff16021a556a3cb3c587df1da0674597041 | MATLAB | 77 | 5 | function LaunchAnnotator(self)
self.BackupAnnotations()
Annotator(self);
end |
38b0767eacf28fd7488b0bafcabc3b1fb1a53e36a84fedb87a480418b2c8ae24 | MATLAB | 78 | 2 | function tpfileparams=tpfnameparams(dirname,channel,params)
tpfileparams= [];
|
074063ea6700e53a450fcd1d421d81914afc4087295e4c22500112c37798c37c | MATLAB | 81 | 5 | function clear_FEM()
import com.comsol.model.util.*
ModelUtil.clear();
end
|
ddb620724fc53841b8739d8618850b24784ae3e52bf783d83bb3e99ca1ec53a4 | MATLAB | 82 | 2 | function tpfileparams=tpfnameparams(dirname,channel,params)
tpfileparams= params;
|
bf9f14810b4e8c20acfb8819d3a4954064cde42ba1dab2b998e8bfe73db9afe8 | MATLAB | 83 | 3 | function ep = epsych_path
% ep = epsych_path
ep = fileparts(which('epsych_path'));
|
24fe977835f2e0b5148cf55621d740232c95982b1c5af7e7f3d5d33f7398e214 | MATLAB | 88 | 4 | function ASname = AS_name(AS)
ASname = sprintf('AS%d.%d', AS.elecId, AS.asId);
end
|
fc1018006921df0efc3682980fde0d83b3c2b4dc3101299be1652fb3cf7ea7df | MATLAB | 88 | 4 | Qemax=0.03;
Thetae=-58.5;
Sigmae=3;
Qe=Qemax/(1+(exp(pi*(Thetae-Ve)/(sqrt(3)*Sigmae)))); |
bca3e52eabc860f448545813b35b84dd861d0bacc1cbf564f05ca06d21164365 | MATLAB | 91 | 5 | function x = boundedExp(x)
MINEXP = -90;
MAXEXP = 90;
x = exp(max(MINEXP,min(MAXEXP,x))); |
ee7955beddfde9b3f449d67b82a2e0dbe487bdd8c38e9ee9cd998bf566f3ad29 | MATLAB | 91 | 5 | function mkdir_CB(dirName)
if ~exist(dirName,'dir')
mkdir(dirName)
end |
c8bd5037dbc6159d355700d697118de31d0a39e59e30b523fcf534c3adc3f296 | MATLAB | 94 | 6 | function save_FEM(model, FEM)
mphsave(FEM, model.paths.FEM, 'optimize', 'size');
end
|
09b01ebfb7fe6c5de1305c847317af531300e2542bb50cd6cee89bb400ba51de | MATLAB | 95 | 5 | function [] = box_ticks(ax)
%BOX_TICKS ticks and
set(ax,'Tickdir', 'out', 'Box', 'off');
end
|
c758e4f0495ef7277f86c51d179e62a084c5b6ecf45af40371b53b9915509252 | MATLAB | 101 | 3 | function fname=tpfilename(tpfileparams,cycle,channel,frame)
fname=[tpfileparams.filenames(1).name];
|
55f618b19a80cd7e6f96732a15038decfc4f614a9715d56bcddfe7966fcc8336 | MATLAB | 102 | 4 | function xout = zeroPad(xin, zeroImage)
xout = zeroImage;
xout( 1:size(xin,1), 1:size(xin,2) ) = xin; |
c179f60cec85896cf8838c2a45fd5e1a687af9ea8fb0fa6e8633c02055eb8d07 | MATLAB | 102 | 4 | function OverwriteAnnotation(self, replacementT)
self.AnnotationTable = replacementT;
self.Save();
end |
a17f71371337177aae050f2d1c7bcb85a4c70d31b1e5c71032bed40948a58a0e | MATLAB | 104 | 4 | function f = data_path(name)
f = fullfile(what('fiber_distribution/builtin/data').path, name);
end
|
f34d8db8b4776d0951b5b7119c4e36c7f36389f199e44b1e9ec4a70501a08b97 | MATLAB | 105 | 3 | function fname=tpfilename(tpfileparams,cycle,channel,frame)
fname=[tpfileparams.filenames(frame).name];
|
067218c965a52e1a2ca6b2aa9b56e7ccf871a6b92b17ad2ecccf1d4080a3c0d1 | MATLAB | 107 | 7 | function close_FEM(FEM)
import com.comsol.model.util.*;
try
ModelUtil.remove(FEM.tag);
end
end
|
3074f2a5adc197a53b388f7d2a1b5884bd7dbe82c59f42479be8bbb119fc0cb8 | MATLAB | 108 | 4 | function paces = list_pace()
paces = {'Slow pace (2 s)', 'Mid pace (1.6 s)', 'Fast pace (1.2 s)'};
end
|
638439abe01b0834a561524e153c25f3893026b0a6ef25a53e3a430b809257e8 | MATLAB | 109 | 4 | function myclose
% myclose Disconnect from MySQL [mym utilities]
% Example myclose
mym('close') |
d41c31413eeba60edbc004f5e86cbb620a2d8804edd0bd659fa0adf5461654b7 | MATLAB | 109 | 4 | function cellArray = remove_empty(cellArray)
cellArray = cellArray(~cellfun(@isempty, cellArray));
end
|
fdab59e1ab0ecf2d0a5de39eb51a282fe1895319626db6d282843d2784c6261d | MATLAB | 110 | 6 | function geomTag = geom_tag(FEM)
t = FEM.geom().tags;
assert(numel(t) == 1);
geomTag = char(t(1));
end
|
fea1c6ee934bd45b3406d8287e1c1ca805e12ff412317eb3f5ede5b284f430ea | MATLAB | 110 | 7 | function x = Threshold(y,t)
% Threshold -- Apply max(0,y-t)
res = (y - t);
x = (res + abs(res))/2;
|
ff4d9354e97130bbb45c81642f3e197969ef07452309eacf98659a417a299806 | MATLAB | 110 | 4 | %%% format_fig
set(gcf, 'Color', 'white')
set(gca,'FontSize',18,'FontWeight','bold')
set(gca,'LineWidth',1.5)
|
a9415b3be14384554f4a1f366192fb9ce6dd7b6da3cb239d01d8794e7cfb685d | MATLAB | 111 | 5 | function N = normalizeImage(I)
minimum = min(I(:));
maximum = max(I(:));
N = (I-minimum)/(maximum-minimum);
end |
8235020e9040be74884016a5670305b27b737eddc17a5adb9bdcb8253ba077c7 | MATLAB | 112 | 7 | function out = dround(in,prec)
if( nargin < 2 )
prec = 100;
end
out = round( in * prec) / prec; |
9220bf1a663acb6201dc9eb03ec17b8d01e092a720f323f85483d204728f731c | MATLAB | 112 | 5 | function flags=marks_bound2flag(bounds,flags)
for i=1:size(bounds,1);
flags(bounds(i,1):bounds(i,2))=1;
end |
9a49cdd53b5ffcd0babb64edebbf399297e034bc3ef5e53b8f24a7bd5db1a258 | MATLAB | 115 | 8 | s = serial('COM5');
set(s,'BaudRate',9600);
fopen(s);
fwrite(s,1);
foodPot = fscanf(s);
fclose(s)
delete(s)
clear s |
b179cbd73efe5c956d1a3f3e156c5e414fdf797843ef0f1aeb3401fdd2bbbf30 | MATLAB | 115 | 5 | function [taste] = taste_strings()
%TASTE_STRINGS Return the taste strings
taste = {'sour', 'salt', 'sweet'};
end
|
fe8515d096dbbd5109594edc9335f3a5d5b444119fafc3f108104fb6e80c82d5 | MATLAB | 115 | 4 | function behaviors = GetBehaviors(self)
self = self.Load();
behaviors = categories(self.AnnotationTable.Label);
end |
643cf8cd3adf1fadca5984fbfd6d435b6297a4ef1f1b127f63a8b187b0f6870b | MATLAB | 117 | 5 | function [params] = getSpkHistVar(params)
params.W(:) = inf;
params.B(:) = DMC.utils.boundedExp(2*params.H(1));
end
|
8001a4d3bf49d362133b7da4cbe1c7d8bc2a2d3ae2478baa445336bf1c13b6c0 | MATLAB | 118 | 6 | function fibersCompart = load_fibers_compart(modelPaths)
load(modelPaths.fiberCompart, 'fibersCompart');
end
|
293d14136c924cbf573e6755dc0505863f4e38ce643cf35a33fea88a2175be9d | MATLAB | 120 | 4 | % redirect to mx.three_dimensional.viewGii
function viewgii(varargin)
mx.three_dimensional.viewGii(varargin{:});
end |
bcd5aaaeb37465d566074a92cc91c986c4f2f0da73fb1c24698d33b18dd178b9 | MATLAB | 120 | 8 | function comb = f_NcombK(N,K,r)
comb = zeros(r,K);
for i=1:r
rr = randperm(N);
comb(i,:) = rr(1:K);
end |
4a64b3d269931fee2c2f6178efae91087e64bdde06b16cd20885a61d59ac62b5 | MATLAB | 122 | 4 | function [ angle ] = Angle( A, B )
%Angle - returns angle between two verticies
angle = atan2(norm(cross(A,B)),dot(A,B)); |
b24740d253b77aec4dc471268f6c8b2c7b533d21a7e84e5122432f7812e00b8b | MATLAB | 122 | 5 | function filePath = mkdir_file(filePath)
folder = fileparts(filePath);
if ~isfolder(folder); mkdir(folder); end
end
|
ff60283ed05ab2ffd17cd3a041ac19a8edb445c1e7665255abd867a3b83cd28f | MATLAB | 122 | 4 | function displayEndOfDemoMessage(filename)
% Dummy function - do nothing.
% Copyright 2009-2020 The MathWorks, Inc.
|
e01b699c058e6fd895a1e1fc21e31f752a0842509af903a94bdceff89c4e6219 | MATLAB | 124 | 3 | function idx_trials=find_trials(myconditions,mystring)
idx_trials=find(~(cellfun(@isempty,regexp(myconditions,mystring)))); |
f3fe8ebba36714f7a6ed8747f48687d54120ba932ffbde8d6ab41e117d530cf1 | MATLAB | 124 | 6 | function fibersPerFascicle = load_fibers(modelPaths)
load([modelPaths.pop 'fibers.mat'], 'fibersPerFascicle');
end
|
4927c9f5aea080d5ea8f2d64874e7ba812248a499354ae39e1a54031b6f1f266 | MATLAB | 126 | 4 | function tic_handle = start_time()
fprintf(['\t> Start time: ' datestr(now,'HH:MM:SS') '\n'])
tic_handle = tic;
end |
f54de4e14df5d77df8fb57b68057d6707ddf2a55e9bbc62e30652879aa10e73d | MATLAB | 129 | 7 | function labels = GetLabelsFromTable(t)
labels = {};
for i=1:size(t, 1)
labels = [labels; {t.Annotations{i}.Label}];
end
end |
fee25db3b8a1f85df0f80f911755aa103cd00f60b0f80f4c275c04ca5e1356a2 | MATLAB | 129 | 5 | function sem = nansem(x)
%%% Computes the standard error of the mean.
x = x(~isnan(x));
sem = std(x)/sqrt(numel(x)); |
987641de0ca8283afb8d21fb48a0d0332e6277ffbacbaed6f3c6f93ce3b228e9 | MATLAB | 130 | 6 |
function cellArray = TransposeCellArrayElements(cellArray)
for i = 1:length(cellArray)
cellArray{i} = cellArray{i}';
end
end
|
bbe5fd625453060932dfee972e2b95aeb4d06d1b127cc29592c0caceee918060 | MATLAB | 130 | 8 | function cc = remove_lower_half(cc)
for y=1:size(cc,1)
for x=1:y
cc(y,x) = 0;
end
end
end
|
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