plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | aristofanio/freemat-master | test_plot1.m | .m | freemat-master/FreeMat/tests/suite/test_plot1.m | 175 | utf_8 | 45d6961d6824b09440f3b5cc22c4e27e | % test plot of an empty argument
function test_val = test_plot1
a = [];
try
% If this causes a segfault, it won't be caught.
plot(a,a);
catch
end
close all;
test_val = 1;
|
github | aristofanio/freemat-master | test_sparse72.m | .m | freemat-master/FreeMat/tests/suite/test_sparse72.m | 619 | utf_8 | acde0b477934bd18ab7610119044a187 | % Test sparse matrix array row deletion
function x = test_sparse72
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
ndxr = randi(ones... |
github | aristofanio/freemat-master | test_matcat8.m | .m | freemat-master/FreeMat/tests/suite/test_matcat8.m | 92 | utf_8 | 7a8a29e63204a61a9622793b9b2d8160 | % Check that [1:0] is sane
function test_val = test_matcat8
test_val = isa([1:0],'double');
|
github | aristofanio/freemat-master | test_qr1.m | .m | freemat-master/FreeMat/tests/suite/test_qr1.m | 504 | utf_8 | 32d7e51551e437f6bf9ee0676dcb1a42 | % Test the QR decomposition (without pivoting, minimal decomposition, double)
function test_val = test_qr1
a = [1,2,3;4,5,6;7,8,9;10,0,5];
% double precision
[q,r] = qr(a,0);
qorg = q'*q - diag(ones(1,3));
t1 = (max(abs(qorg(:)))<1e-15);
t2 = ((size(q,1) == 4) & (size(q,2) == 3));
t3 = ((size(r,1) == 3) & (size(r,2) ==... |
github | aristofanio/freemat-master | test_for3.m | .m | freemat-master/FreeMat/tests/suite/test_for3.m | 180 | utf_8 | 20d4cc7d4c53cd9e47da21d1e13ba01c | % Test a simple 'for' statement with a continue clause
function test_val = test_for3
sum = 0;
for i = 1:10;
sum = sum + i;
if (i==5), break; end;
end
test_val = test(sum == 15);
|
github | aristofanio/freemat-master | test_subset10.m | .m | freemat-master/FreeMat/tests/suite/test_subset10.m | 234 | utf_8 | f3eb737309699afdf82f38fbcd07c4ac | % Test the cell vector subset with contents-based addressing
function test_val = test_subset10
a = {5,8;10,3};
sm = test_subset10_assist(a{2,1:2});
test_val = test(sm == 13);
function a = test_subset10_assist(b,c)
a = b + c;
|
github | aristofanio/freemat-master | test_qr8.m | .m | freemat-master/FreeMat/tests/suite/test_qr8.m | 543 | utf_8 | 2a4d670111ed038465172706dcb32770 | % Test the QR decomposition (without pivoting, dcomplex)
function test_val = test_qr8
a = double([1,2,3;4,5,6;7,8,9;10,0,5]);
a = a + i*(a-1);
% float precision
[q,r] = qr(a);
qorg = q'*q - diag(ones(1,4));
t1 = (max(abs(qorg(:)))<1e-15);
t2 = ((size(q,1) == 4) & (size(q,2) == 4));
t3 = ((size(r,1) == 4) & (size(r,2) =... |
github | aristofanio/freemat-master | test_sparse80.m | .m | freemat-master/FreeMat/tests/suite/test_sparse80.m | 675 | utf_8 | 9241e8ecc3848131cc54d6f6452df290 | % Test sparse-sparse matrix array multiply
function x = test_sparse80
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = sp... |
github | aristofanio/freemat-master | test_struct8.m | .m | freemat-master/FreeMat/tests/suite/test_struct8.m | 345 | utf_8 | 75efd6e40d0feca1c1522794550bc6ba | % Test the structure field-based multiple assign in a function call
function test_val = test_struct8
a = struct('foo',{0,0,0,0});
[a.foo] = test_struct8_assist;
test_val = test(a(1).foo == 1) & test(a(2).foo == 2) & ...
test(a(3).foo == 3) & test(a(4).foo == 4);
function [a,b,c,d] = test_struct8_assist
a = 1;
... |
github | aristofanio/freemat-master | test_sparse74.m | .m | freemat-master/FreeMat/tests/suite/test_sparse74.m | 493 | utf_8 | e508b38c1e8bdf43768560481cec9021 | % Test sparse matrix array diagonal extraction
function x = test_sparse74
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
x = testeq... |
github | aristofanio/freemat-master | test_switch8.m | .m | freemat-master/FreeMat/tests/suite/test_switch8.m | 181 | utf_8 | a973cdf47efaea6f648fcf66fc8425f2 | % Test the switch statement with a blank line after the switch clause
function test_val = test_switch8
v = '3';
switch(v)
case '3'
vv = 111;
end
test_val = 1;
|
github | aristofanio/freemat-master | test_parallel_fft1.m | .m | freemat-master/FreeMat/tests/suite/test_parallel_fft1.m | 336 | utf_8 | 4949ce1c940bd84cd1d6fd76a5ae6c1b | % Test FFT running in parallel threads
function test_val = test_parallel_fft1
a = rand(1000,1000);
b = rand(500,1000);
id1 = threadnew;
id2 = threadnew;
threadstart(id1,'fft',1,a);
threadstart(id2,'fft',1,b);
A = threadvalue(id1);
B = threadvalue(id2);
threadfree(id1);
threadfree(id2);
test_val = issame(A,fft(a)) && is... |
github | aristofanio/freemat-master | test_svd7.m | .m | freemat-master/FreeMat/tests/suite/test_svd7.m | 1,015 | utf_8 | 9ccb08049e5b9dfc0606ac164f48392c | % Test the full version of the svd with double vectors
function test_val = test_svd7
t1all = 1;
p = [];
for n=2:4:100
a = double(rand(n,2*n));
[u,s,v] = svd(a);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*eps*n;
t1 = (err < bnd);
if (~t1) printf... |
github | aristofanio/freemat-master | test_svd5.m | .m | freemat-master/FreeMat/tests/suite/test_svd5.m | 1,014 | utf_8 | f022bb5f380f16261fe2097e48f20ec1 | % Test the full version of the svd with float vectors
function test_val = test_svd5
t1all = 1;
p = [];
for n=2:4:100
a = float(rand(n,2*n));
[u,s,v] = svd(a);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*feps*n;
t1 = (err < bnd);
if (~t1) printf(... |
github | aristofanio/freemat-master | test_range1.m | .m | freemat-master/FreeMat/tests/suite/test_range1.m | 194 | utf_8 | c9f3b4eecb7e1c69f88a1c317fae9230 | % Check the range function for integer types positive with 3 args & horizontal concatenation
function test_val = test_range1
range = 0:1:3;
range2 = [0,1,2,3];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_erode1.m | .m | freemat-master/FreeMat/tests/itk/test_erode1.m | 175 | utf_8 | a4a49ae8f97b6049941609f332e5057d | % Test for itk erode in 2D
function test_val = test_erode1
a = zeros(5);
a(2:4,2:4) = 1;
b = erode(a);
c = zeros(5,'logical');
c(3,3) = 1;
test_val = issame(c,b);
|
github | aristofanio/freemat-master | test_sparse61.m | .m | freemat-master/FreeMat/tests/operators/test_sparse61.m | 707 | utf_8 | b3079db9834ab66f7cb1cd09ce7e65c6 | % Test sparse-sparse matrix multiplication
function x = test_sparse61
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = sp... |
github | aristofanio/freemat-master | test_range4.m | .m | freemat-master/FreeMat/tests/operators/test_range4.m | 198 | utf_8 | 4d3ec0a36c2518ba708b23ee4df356cf | % Check the range function for double types with 3 args & vertical concatenation
function test_val = test_range4
range = 0.45:3.45;
range2 = [0.45,1.45,2.45,3.45];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_sparse79.m | .m | freemat-master/FreeMat/tests/operators/test_sparse79.m | 675 | utf_8 | 94e3b9595032563462c5ef2c5fe60bb9 | % Test sparse-sparse matrix array subtract
function x = test_sparse79
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = sp... |
github | aristofanio/freemat-master | test_sparse76.m | .m | freemat-master/FreeMat/tests/operators/test_sparse76.m | 404 | utf_8 | 40afab1d1b5ecf6b2f27c91d35ae0fff | % Test sparse matrix array hermitian
function x = test_sparse76
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
x = testeq(yi1',zi1... |
github | aristofanio/freemat-master | test_range7.m | .m | freemat-master/FreeMat/tests/operators/test_range7.m | 162 | utf_8 | 0065baeb78c79cc797ceee7053900df3 | % Check the range function with a negative step size
function test_val = test_range7
range = 3:-1:-2;
range2 = [3,2,1,0,-1,-2];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_range9.m | .m | freemat-master/FreeMat/tests/operators/test_range9.m | 119 | utf_8 | eedf572c8b063125d94fbb8621ee7075 | % Check the range function with an empty range
function test_val = test_range9
range = 3:2;
test_val = isempty(range);
|
github | aristofanio/freemat-master | test_sparse77.m | .m | freemat-master/FreeMat/tests/operators/test_sparse77.m | 413 | utf_8 | bef70f0b7e3ad0aa56aa8aab3a2fc05f | % Test sparse matrix array transpose
function x = test_sparse77
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
x = testeq(yi1.',zi1... |
github | aristofanio/freemat-master | test_range3.m | .m | freemat-master/FreeMat/tests/operators/test_range3.m | 194 | utf_8 | 9c584f590e07e3cc7ed2c28a76724cea | % Check the range function for float types with 2 args & horizontal concatenation
function test_val = test_range3
range = 0.2f:2.2f;
range2 = [0.2f,1.2f,2.2f];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_sparse82.m | .m | freemat-master/FreeMat/tests/operators/test_sparse82.m | 407 | utf_8 | 266a74fc2c56a9f5f6300d17f4a43781 | % Test sparse-sparse matrix array solution
function x = test_sparse82
[yd1,zd1] = sparse_test_mat('double',100,100);
[yz1,zz1] = sparse_test_mat('dcomplex',100,100);
[yd2,zd2] = sparse_test_mat('double',100,60);
[yz2,zz2] = sparse_test_mat('dcomplex',100,60);
x = testeq3(yd1\yd2,zd1\zd2) & testeq3(yz1\yz2,zz1\zz2);
fu... |
github | aristofanio/freemat-master | test_range8.m | .m | freemat-master/FreeMat/tests/operators/test_range8.m | 171 | utf_8 | 20a03b1fc7e42dc87a904e7af2f7e529 | % Check the range function with a negative step size
function test_val = test_range8
range = 3f:-1f:-2f;
range2 = [3f,2f,1f,0f,-1f,-2f];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_sparse60.m | .m | freemat-master/FreeMat/tests/operators/test_sparse60.m | 706 | utf_8 | 37bb776ca6e60462037f332a7b93c1a5 | % Test dense-sparse matrix multiplication
function x = test_sparse60
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = spa... |
github | aristofanio/freemat-master | test_sparse78.m | .m | freemat-master/FreeMat/tests/operators/test_sparse78.m | 670 | utf_8 | 9f9320afab01a121615d77f3bf9f7d07 | % Test sparse-sparse matrix array add
function x = test_sparse78
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = sparse_... |
github | aristofanio/freemat-master | test_range5.m | .m | freemat-master/FreeMat/tests/operators/test_range5.m | 153 | utf_8 | b61b8c93735b72826a8dca7939b99594 | % Check the range function with negative integer
function test_val = test_range5
range = -2:2;
range2 = [-2,-1,0,1,2];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_range2.m | .m | freemat-master/FreeMat/tests/operators/test_range2.m | 197 | utf_8 | 8746a698efa0753908ccdd10904ad9a3 | % Check the range function for integer types positive with 3 args & horizontal concatenation
function test_val = test_range2
range = (0:1:3)';
range2 = [0;1;2;3];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_range6.m | .m | freemat-master/FreeMat/tests/operators/test_range6.m | 171 | utf_8 | 6316486b5422a4da56529c071f39525f | % Check the range function with a negative float
function test_val = test_range6
range = -2.f:3.f;
range2 = [-2.f,-1.f,0.f,1.f,2.f,3.f];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_sparse59.m | .m | freemat-master/FreeMat/tests/operators/test_sparse59.m | 706 | utf_8 | 5edade90cf13f4d5beed3567bad21f46 | % Test sparse-dense matrix multiplication
function x = test_sparse59
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = spa... |
github | aristofanio/freemat-master | test_sparse80.m | .m | freemat-master/FreeMat/tests/operators/test_sparse80.m | 675 | utf_8 | 9241e8ecc3848131cc54d6f6452df290 | % Test sparse-sparse matrix array multiply
function x = test_sparse80
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = sp... |
github | aristofanio/freemat-master | test_range1.m | .m | freemat-master/FreeMat/tests/operators/test_range1.m | 194 | utf_8 | c9f3b4eecb7e1c69f88a1c317fae9230 | % Check the range function for integer types positive with 3 args & horizontal concatenation
function test_val = test_range1
range = 0:1:3;
range2 = [0,1,2,3];
test_val = test(range == range2);
|
github | aristofanio/freemat-master | test_test5.m | .m | freemat-master/FreeMat/tests/elementary/test_test5.m | 155 | utf_8 | a09138a349b48194acc624690c02cf38 | % Check that test function throws an error when not given an argument
function test_val = test_test5
test_val = 0;
try
test;
catch
test_val = 1;
end
|
github | aristofanio/freemat-master | test_test1.m | .m | freemat-master/FreeMat/tests/elementary/test_test1.m | 113 | utf_8 | 6b96d87c03dc71835bec874a69d02900 | % Check that test function works properly for a scalar 1
function test_val = test_test1
test_val = test(1) == 1;
|
github | aristofanio/freemat-master | test_test4.m | .m | freemat-master/FreeMat/tests/elementary/test_test4.m | 134 | utf_8 | 73bde63ba68f68a76a9f5fd31b4bc7b8 | % Check that test function works properly for a vector with one zero
function test_val = test_test4
test_val = test([1,0,1,1]) == 0;
|
github | aristofanio/freemat-master | test_test3.m | .m | freemat-master/FreeMat/tests/elementary/test_test3.m | 125 | utf_8 | f01e10f4bd3e12f966d5713183f16ea8 | % Check that test function works properly for a vector of 1
function test_val = test_test3
test_val = test([1,1,1,1]) == 1;
|
github | aristofanio/freemat-master | test_test2.m | .m | freemat-master/FreeMat/tests/elementary/test_test2.m | 114 | utf_8 | d803cfec571d2d0334a46abee49d7cc9 | % Check that test function works properly for a scalar 0
function test_val = test_test2
test_val = test(0) == 0;
|
github | aristofanio/freemat-master | test_sparse57.m | .m | freemat-master/FreeMat/tests/sparse/test_sparse57.m | 377 | utf_8 | e063289125df11b10df4cd6d14da06ff | % Test makeDenseArray function
function x = test_sparse57
[yi,zi] = sparse_test_mat('int32',400);
[yf,zf] = sparse_test_mat('float',400);
[yd,zd] = sparse_test_mat('double',400);
[yc,zc] = sparse_test_mat('complex',400);
[yz,zz] = sparse_test_mat('dcomplex',400);
x = testeq(full(yi),zi) & testeq(full(yf),zf) & testeq(f... |
github | aristofanio/freemat-master | test_sparse62.m | .m | freemat-master/FreeMat/tests/sparse/test_sparse62.m | 1,323 | utf_8 | a587db394b80100c2f7e4fa79dacb378 | % Test sparse matrix array constructor
function x = test_sparse62
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[yi2,zi2] = sparse... |
github | aristofanio/freemat-master | test_sparse58.m | .m | freemat-master/FreeMat/tests/typecast/test_sparse58.m | 1,486 | utf_8 | fef3ed911f11ff7b5357fdf6c3631372 | % Test type conversion functions
function x = test_sparse58
[yi,zi] = sparse_test_mat('int32',400);
[yf,zf] = sparse_test_mat('float',400);
[yd,zd] = sparse_test_mat('double',400);
[yc,zc] = sparse_test_mat('complex',400);
[yz,zz] = sparse_test_mat('dcomplex',400);
xi = testeq(int32(yi),sparse(int32(zi))) & ...
te... |
github | aristofanio/freemat-master | test_svd3.m | .m | freemat-master/FreeMat/tests/transforms/test_svd3.m | 457 | utf_8 | 5dff97a850d539307f06706c938650fd | % Test the svd with finite and infinite args (functional only)
function test_val = test_svd3
a = complex([1,3;4,2]);
[u,s,v] = svd(a);
res1 = 1;
res2 = 0;
res3 = 0;
res4 = 0;
try
c = a;
c(2,2) = inf;
svd(c);
catch
res2 = 1;
end
try
c = a;
c(2,2) = -inf;
svd(c);
catch
... |
github | aristofanio/freemat-master | test_qr4.m | .m | freemat-master/FreeMat/tests/transforms/test_qr4.m | 530 | utf_8 | 60c8c4aa3bf5f68ac5c77ac65cab233a | % Test the QR decomposition (without pivoting, minimal decomposition, dcomplex)
function test_val = test_qr4
a = double([1,2,3;4,5,6;7,8,9;10,0,5]);
a = a + i*(a-1);
% float precision
[q,r] = qr(a,0);
qorg = q'*q - diag(ones(1,3));
t1 = (max(abs(qorg(:)))<1e-15);
t2 = ((size(q,1) == 4) & (size(q,2) == 3));
t3 = ((size(... |
github | aristofanio/freemat-master | test_qr12.m | .m | freemat-master/FreeMat/tests/transforms/test_qr12.m | 1,359 | utf_8 | 5a6e3d85d8d10b36458ebbdd7226f6c8 | % Test the QR decomposition (full, pivoting)
function test_val = test_qr12
t1all = 1;
for n=2:4:100
a = float(rand(n,n));
[q,r,e] = qr(a);
err = abs(a-q*r*e');
err = max(err(:));
bnd = 10*max(abs(diag(r)))*feps*(n^(0.5));
t1 = (err < bnd);
if (~t1) printf('test failed: er = %e bnd = %e (... |
github | aristofanio/freemat-master | test_lu2.m | .m | freemat-master/FreeMat/tests/transforms/test_lu2.m | 602 | utf_8 | 8d9b1b1419ac3054c6e0dbb33d726577 | % Test the LU decomposition with 3 argument return for full matrices
function x = test_lu2
A = float(randn(20));
[L,U,P] = lu(A);
x = testeq(100,L*U,P*A);
A = double(randn(20));
[L,U,P] = lu(A);
x = x & testeq(100,L*U,P*A);
A = complex(randn(20)+i*randn(20));
[L,U,P] = lu(A);
x = x & testeq(100,L*U,P*A);
A = dcomplex(r... |
github | aristofanio/freemat-master | test_eig4.m | .m | freemat-master/FreeMat/tests/transforms/test_eig4.m | 2,131 | utf_8 | 7f583d6b400f4735ab8bbc8d4a385b82 | % Test generalized eigenvalue function - general matrices
function t = test_eig4
% First the float version
t1all = 1;
for i=2:4:100
a = float(randn(i));
b = float(randn(i));
[v,d] = eig(a,b);
emat = a*v - b*v*d;
er = max(abs(emat(:)));
bnd = 8*max(diag(abs(d)))*feps*i;
t1 = (er < bnd);
if (~t1) print... |
github | aristofanio/freemat-master | test_qr2.m | .m | freemat-master/FreeMat/tests/transforms/test_qr2.m | 507 | utf_8 | 252cbbd681b6b21562c45ae0e7dd9a68 | % Test the QR decomposition (without pivoting, minimal decomposition, float)
function test_val = test_qr2
a = float([1,2,3;4,5,6;7,8,9;10,0,5]);
% float precision
[q,r] = qr(a,0);
qorg = q'*q - diag(ones(1,3));
t1 = (max(abs(qorg(:)))<1e-6);
t2 = ((size(q,1) == 4) & (size(q,2) == 3));
t3 = ((size(r,1) == 3) & (size(r,2... |
github | aristofanio/freemat-master | test_eig3.m | .m | freemat-master/FreeMat/tests/transforms/test_eig3.m | 244 | utf_8 | 1f4589a38b15782b607849f6d04ab65a | % Test the 'nobalance' option for eig
function t = test_eig3
B = [3,-2,-.9,2*eps;-2,4,1,-eps;-eps/4,eps/2,-1,0;-.5,-.5,.1,1];
[VN,DN] = eig(B,'nobalance');
er = B*VN - VN*DN;
er = max(abs(er(:)));
bnd = 1.2*max(diag(DN))*eps*8;
t = (er < bnd);
|
github | aristofanio/freemat-master | test_eig5.m | .m | freemat-master/FreeMat/tests/transforms/test_eig5.m | 2,251 | utf_8 | c50701251fa43e825c36515ef73c44ad | % Test generalized eigenvalue function - symmetric matrices
function t = test_eig5
% First the float version
t1all = 1;
for i=2:4:100
a = float(randn(i)); a = a + a';
b = float(randn(i)); b = b*b';
[v,d] = eig(a,b);
emat = a*v - b*v*d;
er = max(abs(emat(:)));
bnd = 10*max(abs(eig(b)))*max(diag(abs(d)))*fep... |
github | aristofanio/freemat-master | test_svd11.m | .m | freemat-master/FreeMat/tests/transforms/test_svd11.m | 1,019 | utf_8 | 9d16fc3f96cc0fdf784505747fa2d7f3 | % Test the compact version of the svd with double vectors
function test_val = test_svd11
t1all = 1;
p = [];
for n=2:100
a = double(rand(n,2*n));
[u,s,v] = svd(a,0);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*eps*n;
t1 = (err < bnd);
if (~t1) pr... |
github | aristofanio/freemat-master | test_qr3.m | .m | freemat-master/FreeMat/tests/transforms/test_qr3.m | 526 | utf_8 | ffe907ff85397e78a0bff4a98c6f256e | % Test the QR decomposition (without pivoting, minimal decomposition, complex)
function test_val = test_qr3
a = float([1,2,3;4,5,6;7,8,9;10,0,5]);
a = a + i*(a-1);
% float precision
[q,r] = qr(a,0);
qorg = q'*q - diag(ones(1,3));
t1 = (max(abs(qorg(:)))<1e-6);
t2 = ((size(q,1) == 4) & (size(q,2) == 3));
t3 = ((size(r,1... |
github | aristofanio/freemat-master | test_qr11.m | .m | freemat-master/FreeMat/tests/transforms/test_qr11.m | 1,678 | utf_8 | b1801b7ef9dbaed4624ffc53dba883af | % Test the QR decomposition (compact, pivoting)
function test_val = test_qr11
t1all = 1;
for n=2:4:100
a = float(rand(2*n,n));
[q,r,ec] = qr(a,0);
e = zeros(n,n);
p = 0:(n-1);
mdx = ec + p*n;
e(mdx) = 1;
err = abs(a-q*r*e');
err = max(err(:));
bnd = 10*max(abs(diag(r)))*feps*(n^(... |
github | aristofanio/freemat-master | test_svd4.m | .m | freemat-master/FreeMat/tests/transforms/test_svd4.m | 458 | utf_8 | 5e771f140208bbdc63bca5b765a90f76 | % Test the svd with finite and infinite args (functional only)
function test_val = test_svd4
a = dcomplex([1,3;4,2]);
[u,s,v] = svd(a);
res1 = 1;
res2 = 0;
res3 = 0;
res4 = 0;
try
c = a;
c(2,2) = inf;
svd(c);
catch
res2 = 1;
end
try
c = a;
c(2,2) = -inf;
svd(c);
catch
... |
github | aristofanio/freemat-master | test_svd2.m | .m | freemat-master/FreeMat/tests/transforms/test_svd2.m | 456 | utf_8 | db82457ef69b7740715ea688387c0702 | % Test the svd with finite and infinite args (functional only)
function test_val = test_svd2
a = double([1,3;4,2]);
[u,s,v] = svd(a);
res1 = 1;
res2 = 0;
res3 = 0;
res4 = 0;
try
c = a;
c(2,2) = inf;
svd(c);
catch
res2 = 1;
end
try
c = a;
c(2,2) = -inf;
svd(c);
catch
... |
github | aristofanio/freemat-master | test_svd12.m | .m | freemat-master/FreeMat/tests/transforms/test_svd12.m | 1,085 | utf_8 | b5a6381ad561860349ec5e5c0eb774f1 | % Test the compact version of the svd with dcomplex vectors
function test_val = test_svd12
t1all = 1;
p = [];
for n=2:100
a = double(rand(n,2*n))+i*double(rand(n,2*n));
[u,s,v] = svd(a,0);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*eps*n;
t1 = (err... |
github | aristofanio/freemat-master | test_sparse75.m | .m | freemat-master/FreeMat/tests/transforms/test_sparse75.m | 604 | utf_8 | 14a600b7391bd3030669e6f5ffa8b15f | % Test sparse matrix array finite test
function x = test_sparse75
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
x = 1;
yi1(150,200... |
github | aristofanio/freemat-master | test_qr6.m | .m | freemat-master/FreeMat/tests/transforms/test_qr6.m | 520 | utf_8 | 2b348b5b62cdac5111522974fe6b960d | % Test the QR decomposition (without pivoting, float)
function test_val = test_qr6
a = float([1,2,3;4,5,6;7,8,9;10,0,5]);
% float precision
[q,r] = qr(a);
qorg = q'*q - diag(ones(1,4));
t1 = (max(abs(qorg(:)))<1e-6);
t2 = ((size(q,1) == 4) & (size(q,2) == 4));
t3 = ((size(r,1) == 4) & (size(r,2) == 3));
aorg = q*r - a;... |
github | aristofanio/freemat-master | test_lu1.m | .m | freemat-master/FreeMat/tests/transforms/test_lu1.m | 586 | utf_8 | a5651146c9ff7a9c29fe5e6f378e7587 | % Test the LU decomposition with 2 argument return for full matrices
function x = test_lu1
A = float(randn(20));
[L,U] = lu(A);
x = testeq(100,L*U,A);
A = double(randn(20));
[L,U] = lu(A);
x = x & testeq(100,L*U,A);
A = complex(randn(20)+i*randn(20));
[L,U] = lu(A);
x = x & testeq(100,L*U,A);
A = dcomplex(randn(20)+i*r... |
github | aristofanio/freemat-master | test_qr7.m | .m | freemat-master/FreeMat/tests/transforms/test_qr7.m | 539 | utf_8 | 5f5741a2fe9bbf13d86c96f4836c138a | % Test the QR decomposition (without pivoting, complex)
function test_val = test_qr7
a = float([1,2,3;4,5,6;7,8,9;10,0,5]);
a = a + i*(a-1);
% float precision
[q,r] = qr(a);
qorg = q'*q - diag(ones(1,4));
t1 = (max(abs(qorg(:)))<1e-6);
t2 = ((size(q,1) == 4) & (size(q,2) == 4));
t3 = ((size(r,1) == 4) & (size(r,2) == 3... |
github | aristofanio/freemat-master | test_qr9.m | .m | freemat-master/FreeMat/tests/transforms/test_qr9.m | 1,354 | utf_8 | 69ba515dca8426b88eadfc8e572b7ce3 | % Test the QR decomposition (full, without pivoting)
function test_val = test_qr9
t1all = 1;
for n=2:4:100
a = float(rand(n,2*n));
[q,r] = qr(a);
err = abs(a-q*r);
err = max(err(:));
bnd = 8*max(abs(diag(r)))*feps*(n^(0.5));
t1 = (err < bnd);
if (~t1) printf('test failed: er = %e bnd = %... |
github | aristofanio/freemat-master | test_svd6.m | .m | freemat-master/FreeMat/tests/transforms/test_svd6.m | 1,077 | utf_8 | 9d70c4bb21be7af3759854121192ef57 | % Test the full version of the svd with complex vectors
function test_val = test_svd6
t1all = 1;
p = [];
for n=2:4:100
a = float(rand(n,2*n))+i*float(rand(n,2*n));
[u,s,v] = svd(a);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*feps*n;
t1 = (err < bnd... |
github | aristofanio/freemat-master | test_eig2.m | .m | freemat-master/FreeMat/tests/transforms/test_eig2.m | 1,986 | utf_8 | 86914557fdcff2075bb8def0f36a3d41 | % Test eigenvalue function - symmetric matrices
function t = test_eig2
% First the float version
t1all = 1;
for i=2:4:100
a = float(randn(i)); a = a + a';
[v,d] = eig(a);
emat = a*v - v*d;
er = max(abs(emat(:)));
bnd = 10*max(diag(abs(d)))*feps*i;
t1 = (er < bnd);
if (~t1) printf('test failed: er = %e bnd... |
github | aristofanio/freemat-master | test_svd8.m | .m | freemat-master/FreeMat/tests/transforms/test_svd8.m | 1,081 | utf_8 | 384baa88ede59efc875544068f068b45 | % Test the full version of the svd with dcomplex vectors
function test_val = test_svd8
t1all = 1;
p = [];
for n=2:4:100
a = double(rand(n,2*n))+i*double(rand(n,2*n));
[u,s,v] = svd(a);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*eps*n;
t1 = (err < b... |
github | aristofanio/freemat-master | test_svd9.m | .m | freemat-master/FreeMat/tests/transforms/test_svd9.m | 1,023 | utf_8 | 4869dbbf440ef765b54638fd17fb3282 | % Test the compact version of the svd with float vectors
function test_val = test_svd9
t1all = 1;
p = [];
for n=2:4:100
a = float(rand(n,2*n));
[u,s,v] = svd(a,0);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*feps*n;
t1 = (err < bnd);
if (~t1) pr... |
github | aristofanio/freemat-master | test_qr5.m | .m | freemat-master/FreeMat/tests/transforms/test_qr5.m | 517 | utf_8 | f06106208eb923b8a22ea52e1f79c386 | % Test the QR decomposition (without pivoting, double)
function test_val = test_qr5
a = [1,2,3;4,5,6;7,8,9;10,0,5];
% double precision
[q,r] = qr(a);
qorg = q'*q - diag(ones(1,4));
t1 = (max(abs(qorg(:)))<1e-15);
t2 = ((size(q,1) == 4) & (size(q,2) == 4));
t3 = ((size(r,1) == 4) & (size(r,2) == 3));
aorg = q*r - a;
t4 ... |
github | aristofanio/freemat-master | test_eig1.m | .m | freemat-master/FreeMat/tests/transforms/test_eig1.m | 1,977 | utf_8 | 7adab29fe784ee2b5b19d341327bef50 | % Test eigenvalue function - general matrices
function t = test_eig1
% First the float version
t1all = 1;
for i=2:4:100
a = float(randn(i));
[v,d] = eig(a);
emat = a*v - v*d;
er = max(abs(emat(:)));
bnd = 100*max(diag(abs(d)))*feps*i;
t1 = (er < bnd);
if (~t1) printf('test failed: er = %e bnd = %e (num %... |
github | aristofanio/freemat-master | test_svd10.m | .m | freemat-master/FreeMat/tests/transforms/test_svd10.m | 1,087 | utf_8 | 743dc8d72f12ef45c2cf4383f9dc39b4 | % Test the compact version of the svd with complex vectors
function test_val = test_svd10
t1all = 1;
p = [];
for n=2:4:100
a = float(rand(n,2*n))+i*float(rand(n,2*n));
[u,s,v] = svd(a,0);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*feps*n;
t1 = (err... |
github | aristofanio/freemat-master | test_qr10.m | .m | freemat-master/FreeMat/tests/transforms/test_qr10.m | 1,370 | utf_8 | 178f2bf0abdf34925cc07d971f792749 | % Test the QR decomposition (compact, without pivoting)
function test_val = test_qr10
t1all = 1;
for n=2:4:100
a = float(rand(2*n,n));
[q,r] = qr(a,0);
err = abs(a-q*r);
err = max(err(:));
bnd = 10*max(abs(diag(r)))*feps*(n^(0.5));
t1 = (err < bnd);
if (~t1) printf('test failed: er = %e ... |
github | aristofanio/freemat-master | test_svd1.m | .m | freemat-master/FreeMat/tests/transforms/test_svd1.m | 448 | utf_8 | 9d34492e8a7021db6b23bf44753ec000 | % Test the svd with finite and infinite args (functional only)
function test_val = test_svd1
a = [1,3;4,2];
[u,s,v] = svd(a);
res1 = 1;
res2 = 0;
res3 = 0;
res4 = 0;
try
c = a;
c(2,2) = inf;
svd(c);
catch
res2 = 1;
end
try
c = a;
c(2,2) = -inf;
svd(c);
catch
res3 =... |
github | aristofanio/freemat-master | test_qr1.m | .m | freemat-master/FreeMat/tests/transforms/test_qr1.m | 504 | utf_8 | 32d7e51551e437f6bf9ee0676dcb1a42 | % Test the QR decomposition (without pivoting, minimal decomposition, double)
function test_val = test_qr1
a = [1,2,3;4,5,6;7,8,9;10,0,5];
% double precision
[q,r] = qr(a,0);
qorg = q'*q - diag(ones(1,3));
t1 = (max(abs(qorg(:)))<1e-15);
t2 = ((size(q,1) == 4) & (size(q,2) == 3));
t3 = ((size(r,1) == 3) & (size(r,2) ==... |
github | aristofanio/freemat-master | test_qr8.m | .m | freemat-master/FreeMat/tests/transforms/test_qr8.m | 543 | utf_8 | 2a4d670111ed038465172706dcb32770 | % Test the QR decomposition (without pivoting, dcomplex)
function test_val = test_qr8
a = double([1,2,3;4,5,6;7,8,9;10,0,5]);
a = a + i*(a-1);
% float precision
[q,r] = qr(a);
qorg = q'*q - diag(ones(1,4));
t1 = (max(abs(qorg(:)))<1e-15);
t2 = ((size(q,1) == 4) & (size(q,2) == 4));
t3 = ((size(r,1) == 4) & (size(r,2) =... |
github | aristofanio/freemat-master | test_parallel_fft1.m | .m | freemat-master/FreeMat/tests/transforms/test_parallel_fft1.m | 336 | utf_8 | 4949ce1c940bd84cd1d6fd76a5ae6c1b | % Test FFT running in parallel threads
function test_val = test_parallel_fft1
a = rand(1000,1000);
b = rand(500,1000);
id1 = threadnew;
id2 = threadnew;
threadstart(id1,'fft',1,a);
threadstart(id2,'fft',1,b);
A = threadvalue(id1);
B = threadvalue(id2);
threadfree(id1);
threadfree(id2);
test_val = issame(A,fft(a)) && is... |
github | aristofanio/freemat-master | test_svd7.m | .m | freemat-master/FreeMat/tests/transforms/test_svd7.m | 1,015 | utf_8 | 9ccb08049e5b9dfc0606ac164f48392c | % Test the full version of the svd with double vectors
function test_val = test_svd7
t1all = 1;
p = [];
for n=2:4:100
a = double(rand(n,2*n));
[u,s,v] = svd(a);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*eps*n;
t1 = (err < bnd);
if (~t1) printf... |
github | aristofanio/freemat-master | test_svd5.m | .m | freemat-master/FreeMat/tests/transforms/test_svd5.m | 1,014 | utf_8 | f022bb5f380f16261fe2097e48f20ec1 | % Test the full version of the svd with float vectors
function test_val = test_svd5
t1all = 1;
p = [];
for n=2:4:100
a = float(rand(n,2*n));
[u,s,v] = svd(a);
emat = abs(a-u*s*v');
err = max(emat(:));
p(n) = err;
bnd = 10*max(abs(diag(s)))*feps*n;
t1 = (err < bnd);
if (~t1) printf(... |
github | aristofanio/freemat-master | test_fitfun3.m | .m | freemat-master/FreeMat/tests/curvefit/test_fitfun3.m | 212 | utf_8 | 6ad0e59f4ebf397c9eacb927c350c94b | % Test the fitfun with a local function
function test_val = test_fitfun3
O = 3/4*pi;
y0 = cos(O);
[x y] = fitfun(@locos,3.5/4*pi,y0,1,0.0001);
test_val = abs((x-O)/O*100)<.1;
function y = locos(x)
y = cos(x);
|
github | aristofanio/freemat-master | test_fitfun1.m | .m | freemat-master/FreeMat/tests/curvefit/test_fitfun1.m | 170 | utf_8 | 449d5432ebd585c9496583cd88deb686 | % Test the fitfun bug (bug 1514605)
function test_val = test_fitfun1
O = 3/4*pi;
y0 = cos(O);
[x y] = fitfun('cos',3.5/4*pi,y0,1,0.0001);
test_val = abs((x-O)/O*100)<.1;
|
github | aristofanio/freemat-master | test_fitfun2.m | .m | freemat-master/FreeMat/tests/curvefit/test_fitfun2.m | 263 | utf_8 | c754a6c5f19b650059b922a145d9482e | % Test the nested fitfun bug (bug 1741350)
function test_val = test_fitfun2
a = 2;
b = 0;
init = [a,b];
y = [1:100];
weights = y*0+1;
tol = 1.e-08;
junk = rand(100);
[xopt,yopt] = fitfun('fitfunc_func1',init,y,weights,tol,junk);
test_val = abs(xopt(1)-1) < 1e-6;
|
github | aristofanio/freemat-master | test_strcmp2.m | .m | freemat-master/FreeMat/tests/string/test_strcmp2.m | 124 | utf_8 | 18224d937b17e9564a7af8453a0a1d57 | % Check the strcmp function for a match
function test_val = test_strcmp2
test_val = test(~strcmp('dasdfas','complex'));
|
github | aristofanio/freemat-master | test_strcmp1.m | .m | freemat-master/FreeMat/tests/string/test_strcmp1.m | 123 | utf_8 | 254dfb0cf212f92a454054380723a292 | % Check the strcmp function for a match
function test_val = test_strcmp1
test_val = test(strcmp('complex','complex'));
|
github | aristofanio/freemat-master | test_assign4.m | .m | freemat-master/FreeMat/tests/array/test_assign4.m | 164 | utf_8 | 76cc9a2d4625395155f4755b5c68e657 | % Test the assignment of a value to a cell array as an n-dim indexing
function test_val = test_assign4
a = {1,2,3;4,5,6};
a{2,3} = -1;
test_val = test(a{6} == -1);
|
github | aristofanio/freemat-master | test_assign8.m | .m | freemat-master/FreeMat/tests/array/test_assign8.m | 112 | utf_8 | e6f16057d818e10aa694efc9d530aa73 | % Test the empty assignment for the empty array
function test_val = test_assign8
a = [];
test_val = isempty(a);
|
github | aristofanio/freemat-master | test_assign2.m | .m | freemat-master/FreeMat/tests/array/test_assign2.m | 176 | utf_8 | f5e22edb86a634c945918fbd77f3e1cf | % Test the assignment of a value to a cell array as a vector-contents.
function test_val = test_assign2
a = {1,2,3,4,5};
test_val = 0;
try
a{5:6} = -1;
catch
test_val = 1;
end
|
github | aristofanio/freemat-master | test_assign12.m | .m | freemat-master/FreeMat/tests/array/test_assign12.m | 226 | utf_8 | f347a92cc43af449a5c7a7e4fd9c9a6a | % Test for column assignment bug with complex arrays
function test_val = test_assign12
A = [1+i 3-i 5+3i
7-i 8+9i 6+i
9 8-i 5i];
B = A;
A(:,2) = 0;
B(1:3,2) = 0;
test_val = all(A==B);
|
github | aristofanio/freemat-master | test_sparse71.m | .m | freemat-master/FreeMat/tests/array/test_sparse71.m | 622 | utf_8 | c0eeee28b40b070235d08e7e8381d1a9 | % Test sparse matrix array column deletion
function x = test_sparse71
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
ndxc = randi(o... |
github | aristofanio/freemat-master | test_assign5.m | .m | freemat-master/FreeMat/tests/array/test_assign5.m | 145 | utf_8 | 2b47aa64285210b4ef17924689bc540c | % Test the field assignment with a scalar struct
function test_val = test_assign5
a = struct('foo',5);
a.foo = -1;
test_val = test(a.foo == -1);
|
github | aristofanio/freemat-master | test_assign9.m | .m | freemat-master/FreeMat/tests/array/test_assign9.m | 109 | utf_8 | 796c02db3a0415888dd2413567aff76f | % Test for reassign bug in repmat
function t = test_assign9
a = {1,2,3};
b = repmat(a,2);
b = 'good';
t = 1;
|
github | aristofanio/freemat-master | test_sparse67.m | .m | freemat-master/FreeMat/tests/array/test_sparse67.m | 496 | utf_8 | 6ee0f22e1b3d70da81bae79d7c229a5b | % Test sparse matrix individual element retrieval
function x = test_sparse67
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
x = tes... |
github | aristofanio/freemat-master | test_assign11.m | .m | freemat-master/FreeMat/tests/array/test_assign11.m | 151 | utf_8 | 1ff8ebbcdd52670d0d4ca62089a4d4ea | % Test for multiple assign with arrays
function test_val = test_assign11
a = zeros(3,4);
[b(1), b(2)] = size(a);
test_val = (b(1) == 3) & (b(2) == 4);
|
github | aristofanio/freemat-master | test_diag1.m | .m | freemat-master/FreeMat/tests/array/test_diag1.m | 150 | utf_8 | 867d403ed4ff55ffea2d44582aec9d45 | % Test the diagonal extraction function
function test_val = test_diag1
a = [1,2,3,4;5,6,7,8;9,10,11,12];
b = diag(a);
test_val = test(b == [1;6;11]);
|
github | aristofanio/freemat-master | test_diag4.m | .m | freemat-master/FreeMat/tests/array/test_diag4.m | 164 | utf_8 | 2dd01d89b9c4a2fed6021f46f27427aa | % Test the diagonal creation function with a non-zero diagonal
function test_val = test_diag4
a = [2,3];
b = diag(a,-1);
test_val = test(b == [0,0,0;2,0,0;0,3,0]);
|
github | aristofanio/freemat-master | test_sparse65.m | .m | freemat-master/FreeMat/tests/array/test_sparse65.m | 1,097 | utf_8 | d1e723bddc0a07a8d48249584c1c5498 | % Test sparse matrix array vector-subset assignment
function x = test_sparse65
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
ndx =... |
github | aristofanio/freemat-master | test_sparse70.m | .m | freemat-master/FreeMat/tests/array/test_sparse70.m | 671 | utf_8 | 127483fd74ed5f9acd5246277bf9d4e6 | % Test sparse to IJV to sparse conversion
function x = test_sparse70
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[iyi1,jyi1,vyi1... |
github | aristofanio/freemat-master | test_assign10.m | .m | freemat-master/FreeMat/tests/array/test_assign10.m | 150 | utf_8 | 3a8ee2812eba66ef09b1c1ebe470798c | % Test for multiple assign with structures
function test_val = test_assign10
a = zeros(3,4);
[m.x m.y] = size(a);
test_val = (m.x == 3) & (m.y == 4);
|
github | aristofanio/freemat-master | test_assign3.m | .m | freemat-master/FreeMat/tests/array/test_assign3.m | 189 | utf_8 | 07997e054ba178af8cdd6cef94625083 | % Test the assignment of a value to a cell-array using content-based n-dim indexing
function test_val = test_assign3
a = {1,2;4,5};
test_val = 0;
try
a{2,1:2} = -1;
catch
test_val = 1;
end
|
github | aristofanio/freemat-master | test_assign1.m | .m | freemat-master/FreeMat/tests/array/test_assign1.m | 160 | utf_8 | 812855ecbc2217803b2fdfeea6f51cdc | % Test the assignment of a value to a cell array as a vector-contents
function test_val = test_assign1
a = {1,2,3,4,5};
a{5} = -1;
test_val = test(a{5} == -1);
|
github | aristofanio/freemat-master | test_assign6.m | .m | freemat-master/FreeMat/tests/array/test_assign6.m | 185 | utf_8 | 93d74abf712139b0b81ce57f8c07c060 | % Test the field assignment with a vector struct (should cause an error)
function test_val = test_assign6
a = struct('foo',{5,7});
test_val = 0;
try
a.foo = -1;
catch
test_val = 1;
end
|
github | aristofanio/freemat-master | test_diag5.m | .m | freemat-master/FreeMat/tests/array/test_diag5.m | 157 | utf_8 | 0a16ada5668cbc1c4d5d2ea82bac1820 | % Test the diagonal creation function with no arguments (bug 1620051)
function test_val = test_diag5
test_val = 1;
try
b = diag;
catch
test_val = 1;
end
|
github | aristofanio/freemat-master | test_assign7.m | .m | freemat-master/FreeMat/tests/array/test_assign7.m | 117 | utf_8 | 69aab4d65246c104ebae2591b30bb621 | % Test the empty assignment for the empty cell array
function test_val = test_assign7
a = {};
test_val = isempty(a);
|
github | aristofanio/freemat-master | test_sparse68.m | .m | freemat-master/FreeMat/tests/array/test_sparse68.m | 926 | utf_8 | a9c826619cb6b233e54640a179a525b4 | % Test sparse to IJV conversion
function x = test_sparse68
[yi1,zi1] = sparse_test_mat('int32',300,400);
[yf1,zf1] = sparse_test_mat('float',300,400);
[yd1,zd1] = sparse_test_mat('double',300,400);
[yc1,zc1] = sparse_test_mat('complex',300,400);
[yz1,zz1] = sparse_test_mat('dcomplex',300,400);
[iyi1,jyi1,vyi1] = find(y... |
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