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test: achieve 100% code coverage
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‎lib/node_modules/@stdlib/lapack/base/dlanv2/lib/base.js‎

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@@ -198,6 +198,7 @@ function dlanv2( A, offsetA, B, offsetB, C, offsetC, D, offsetD, RT1R, offsetRT1
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p = 0.5 * temp;
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tau = dlapy2( sigma, temp );
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CS[ offsetCS ] = sqrt( 0.5 * ( 1.0 + ( abs( sigma ) / tau ) ) );
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SN[ offsetSN ] = -( p / ( tau * CS[ offsetCS ] ) ) * sign( 1.0, sigma );
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‎lib/node_modules/@stdlib/lapack/base/dlanv2/test/fixtures/scale_gt_safmax.json‎

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@@ -0,0 +1,33 @@
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{
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"A": [ 1.0 ],
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"offsetA": 0,
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"B": [ 9.9999999999999997e+199 ],
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"offsetB": 0,
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"C": [ 9.9999999999999998e-201 ],
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"offsetC": 0,
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"D": [ 1.0 ],
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"offsetD": 0,
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"RT1R": [ 0.0 ],
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"offsetRT1R": 0,
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"RT1I": [ 0.0 ],
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"offsetRT1I": 0,
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"RT2R": [ 0.0 ],
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"offsetRT2R": 0,
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"RT2I": [ 0.0 ],
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"offsetRT2I": 0,
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"CS": [ 0.0 ],
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"offsetCS": 0,
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"SN": [ 0.0 ],
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"offsetSN": 0,
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"A_OUT": [ 2.0 ],
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"B_OUT": [ 9.9999999999999997e+199 ],
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"C_OUT": [ 0.0 ],
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"D_OUT": [ 0.0 ],
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"RT1R_OUT": [ 2.0 ],
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"RT1I_OUT": [ 0.0 ],
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"RT2R_OUT": [ 0.0 ],
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"RT2I_OUT": [ 0.0 ],
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"CS_OUT": [ 1.0 ],
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"SN_OUT": [ 9.9999999999999998e-201 ]
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}

‎lib/node_modules/@stdlib/lapack/base/dlanv2/test/fixtures/scale_lt_safmin.json‎

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{
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"A": [ 1.0 ],
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"offsetA": 0,
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"B": [ 9.9999999999999998e-201 ],
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"offsetB": 0,
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"C": [ 9.9999999999999998e-201 ],
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"offsetC": 0,
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"D": [ 1.0 ],
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"offsetD": 0,
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"RT1R": [ 0.0 ],
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"offsetRT1R": 0,
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"RT1I": [ 0.0 ],
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"offsetRT1I": 0,
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"RT2R": [ 0.0 ],
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"offsetRT2R": 0,
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"RT2I": [ 0.0 ],
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"offsetRT2I": 0,
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"CS": [ 0.0 ],
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"offsetCS": 0,
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"SN": [ 0.0 ],
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"offsetSN": 0,
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"A_OUT": [ 1.0 ],
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"B_OUT": [ 0.0 ],
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"C_OUT": [ 0.0 ],
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"D_OUT": [ 1.0 ],
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"RT1R_OUT": [ 1.0 ],
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"RT1I_OUT": [ 0.0 ],
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"RT2R_OUT": [ 1.0 ],
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"RT2I_OUT": [ 0.0 ],
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"CS_OUT": [ 0.70710678118654757 ],
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"SN_OUT": [ 0.70710678118654757 ]
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}

‎lib/node_modules/@stdlib/lapack/base/dlanv2/test/fixtures/z_lt_mutpleps_b_eq_zero.json‎

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{
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"A": [ 2.0 ],
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"offsetA": 0,
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"B": [ -1.0 ],
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"offsetB": 0,
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"C": [ 1.0 ],
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"offsetC": 0,
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"D": [ 0.0 ],
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"offsetD": 0,
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"RT1R": [ 0.0 ],
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"offsetRT1R": 0,
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"RT1I": [ 0.0 ],
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"offsetRT1I": 0,
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"RT2R": [ 0.0 ],
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"offsetRT2R": 0,
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"RT2I": [ 0.0 ],
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"offsetRT2I": 0,
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"CS": [ 0.0 ],
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"offsetCS": 0,
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"SN": [ 0.0 ],
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"offsetSN": 0,
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"A_OUT": [ 1.0 ],
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"B_OUT": [ -2.0 ],
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"C_OUT": [ 0.0 ],
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"D_OUT": [ 1.0 ],
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"RT1R_OUT": [ 1.0 ],
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"RT1I_OUT": [ 0.0 ],
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"RT2R_OUT": [ 1.0 ],
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"RT2I_OUT": [ 0.0 ],
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"CS_OUT": [ 0.70710678118654746 ],
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"SN_OUT": [ 0.70710678118654757 ]
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}

‎lib/node_modules/@stdlib/lapack/base/dlanv2/test/test.dlanv2.js‎

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Original file line numberDiff line numberDiff line change
@@ -32,6 +32,9 @@ var B_EQ_ZERO = require( './fixtures/b_eq_zero.json' );
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var A_EQ_D_OPP_SIGN = require( './fixtures/a_eq_d_opp_sign.json' );
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var Z_GT_MULTPLEPS = require( './fixtures/z_gt_multpleps.json' );
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var Z_LT_MULTPLEPS = require( './fixtures/z_lt_multpleps.json' );
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var SCALE_GT_SAFMAX = require( './fixtures/scale_gt_safmax.json' );
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var SCALE_LT_SAFMIN = require( './fixtures/scale_lt_safmin.json' );
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var Z_LT_MULTPLEPS_B_EQ_ZERO = require( './fixtures/z_lt_mutpleps_b_eq_zero.json' );
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// TESTS //
@@ -361,3 +364,192 @@ tape( 'the function returns expected output for Z < MULTPL * EPS', function test
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362365
t.end();
363366
});
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tape( 'the function returns expected output for very large values', function test( t ) {
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var RT1R_OUT;
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var RT1I_OUT;
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var RT2R_OUT;
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var RT2I_OUT;
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var CS_OUT;
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var SN_OUT;
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var A_OUT;
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var B_OUT;
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var C_OUT;
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var D_OUT;
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var data;
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var RT1R;
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var RT1I;
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var RT2R;
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var RT2I;
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var CS;
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var SN;
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var A;
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var B;
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var C;
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var D;
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data = SCALE_GT_SAFMAX;
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A = new Float64Array( data.A );
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B = new Float64Array( data.B );
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C = new Float64Array( data.C );
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D = new Float64Array( data.D );
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RT1R = new Float64Array( data.RT1R );
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RT1I = new Float64Array( data.RT1I );
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RT2R = new Float64Array( data.RT2R );
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RT2I = new Float64Array( data.RT2I );
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CS = new Float64Array( data.CS );
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SN = new Float64Array( data.SN );
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dlanv2( A, B, C, D, RT1R, RT1I, RT2R, RT2I, CS, SN );
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A_OUT = new Float64Array( data.A_OUT );
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B_OUT = new Float64Array( data.B_OUT );
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C_OUT = new Float64Array( data.C_OUT );
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D_OUT = new Float64Array( data.D_OUT );
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RT1R_OUT = new Float64Array( data.RT1R_OUT );
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RT1I_OUT = new Float64Array( data.RT1I_OUT );
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RT2R_OUT = new Float64Array( data.RT2R_OUT );
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RT2I_OUT = new Float64Array( data.RT2I_OUT );
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CS_OUT = new Float64Array( data.CS_OUT );
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SN_OUT = new Float64Array( data.SN_OUT );
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t.deepEqual( A, A_OUT, 'returns expected value' );
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t.deepEqual( B, B_OUT, 'returns expected value' );
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t.deepEqual( C, C_OUT, 'returns expected value' );
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t.deepEqual( D, D_OUT, 'returns expected value' );
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t.deepEqual( RT1R, RT1R_OUT, 'returns expected value' );
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t.deepEqual( RT1I, RT1I_OUT, 'returns expected value' );
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t.deepEqual( RT2R, RT2R_OUT, 'returns expected value' );
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t.deepEqual( RT2I, RT2I_OUT, 'returns expected value' );
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t.deepEqual( CS, CS_OUT, 'returns expected value' );
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t.deepEqual( SN, SN_OUT, 'returns expected value' );
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t.end();
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});
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tape( 'the function returns expected output for very small values', function test( t ) {
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var RT1R_OUT;
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var RT1I_OUT;
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var RT2R_OUT;
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var RT2I_OUT;
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var CS_OUT;
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var SN_OUT;
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var A_OUT;
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var B_OUT;
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var C_OUT;
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var D_OUT;
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var data;
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var RT1R;
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var RT1I;
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var RT2R;
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var RT2I;
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var CS;
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var SN;
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var A;
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var B;
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var C;
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var D;
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data = SCALE_LT_SAFMIN;
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A = new Float64Array( data.A );
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B = new Float64Array( data.B );
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C = new Float64Array( data.C );
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D = new Float64Array( data.D );
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RT1R = new Float64Array( data.RT1R );
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RT1I = new Float64Array( data.RT1I );
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RT2R = new Float64Array( data.RT2R );
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RT2I = new Float64Array( data.RT2I );
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CS = new Float64Array( data.CS );
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SN = new Float64Array( data.SN );
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dlanv2( A, B, C, D, RT1R, RT1I, RT2R, RT2I, CS, SN );
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A_OUT = new Float64Array( data.A_OUT );
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B_OUT = new Float64Array( data.B_OUT );
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C_OUT = new Float64Array( data.C_OUT );
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D_OUT = new Float64Array( data.D_OUT );
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RT1R_OUT = new Float64Array( data.RT1R_OUT );
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RT1I_OUT = new Float64Array( data.RT1I_OUT );
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RT2R_OUT = new Float64Array( data.RT2R_OUT );
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RT2I_OUT = new Float64Array( data.RT2I_OUT );
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CS_OUT = new Float64Array( data.CS_OUT );
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SN_OUT = new Float64Array( data.SN_OUT );
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t.deepEqual( A, A_OUT, 'returns expected value' );
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t.deepEqual( B, B_OUT, 'returns expected value' );
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t.deepEqual( C, C_OUT, 'returns expected value' );
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t.deepEqual( D, D_OUT, 'returns expected value' );
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t.deepEqual( RT1R, RT1R_OUT, 'returns expected value' );
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t.deepEqual( RT1I, RT1I_OUT, 'returns expected value' );
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t.deepEqual( RT2R, RT2R_OUT, 'returns expected value' );
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t.deepEqual( RT2I, RT2I_OUT, 'returns expected value' );
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t.deepEqual( CS, CS_OUT, 'returns expected value' );
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t.deepEqual( SN, SN_OUT, 'returns expected value' );
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491+
t.end();
492+
});
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tape( 'the function returns expected output when B = 0 post rotation', function test( t ) {
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var RT1R_OUT;
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var RT1I_OUT;
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var RT2R_OUT;
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var RT2I_OUT;
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var CS_OUT;
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var SN_OUT;
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var A_OUT;
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var B_OUT;
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var C_OUT;
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var D_OUT;
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var data;
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var RT1R;
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var RT1I;
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var RT2R;
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var RT2I;
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var CS;
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var SN;
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var A;
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var B;
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var C;
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var D;
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data = Z_LT_MULTPLEPS_B_EQ_ZERO;
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A = new Float64Array( data.A );
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B = new Float64Array( data.B );
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C = new Float64Array( data.C );
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D = new Float64Array( data.D );
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RT1R = new Float64Array( data.RT1R );
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RT1I = new Float64Array( data.RT1I );
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RT2R = new Float64Array( data.RT2R );
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RT2I = new Float64Array( data.RT2I );
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CS = new Float64Array( data.CS );
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SN = new Float64Array( data.SN );
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dlanv2( A, B, C, D, RT1R, RT1I, RT2R, RT2I, CS, SN );
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A_OUT = new Float64Array( data.A_OUT );
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B_OUT = new Float64Array( data.B_OUT );
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C_OUT = new Float64Array( data.C_OUT );
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D_OUT = new Float64Array( data.D_OUT );
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RT1R_OUT = new Float64Array( data.RT1R_OUT );
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RT1I_OUT = new Float64Array( data.RT1I_OUT );
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RT2R_OUT = new Float64Array( data.RT2R_OUT );
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RT2I_OUT = new Float64Array( data.RT2I_OUT );
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CS_OUT = new Float64Array( data.CS_OUT );
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SN_OUT = new Float64Array( data.SN_OUT );
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t.deepEqual( A, A_OUT, 'returns expected value' );
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t.deepEqual( B, B_OUT, 'returns expected value' );
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t.deepEqual( C, C_OUT, 'returns expected value' );
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t.deepEqual( D, D_OUT, 'returns expected value' );
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t.deepEqual( RT1R, RT1R_OUT, 'returns expected value' );
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t.deepEqual( RT1I, RT1I_OUT, 'returns expected value' );
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t.deepEqual( RT2R, RT2R_OUT, 'returns expected value' );
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t.deepEqual( RT2I, RT2I_OUT, 'returns expected value' );
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t.deepEqual( CS, CS_OUT, 'returns expected value' );
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t.deepEqual( SN, SN_OUT, 'returns expected value' );
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t.end();
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});

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