8000 feat: add `lapack/base/dlanv2` by aayush0325 · Pull Request #7492 · stdlib-js/stdlib · GitHub
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feat: add lapack/base/dlanv2 #7492

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90c0491
feat: add lapack/base/dlanv2
aayush0325 Jun 26, 2025
f072be6
docs: add missing jsdoc example
aayush0325 Jun 26, 2025
8fbcb55
feat: add main exports
aayush0325 Jun 26, 2025
2e13486
test: add tests
aayush0325 Jun 27, 2025
0ef0464
test: add z tests
aayush0325 Jun 27, 2025
222a922
test: add ndarray tests
aayush0325 Jun 27, 2025
f16759d
test: achieve 100% code coverage
aayush0325 Jun 27, 2025
03a8196
test: add ndarray tests
aayush0325 Jun 27, 2025
aabd565
test: add offset tests
aayush0325 Jun 27, 2025
ecaad2a
feat: add examples and benchmarks
aayush0325 Jun 27, 2025
d58f9f2
docs: add index.d.ts
aayush0325 Jun 28, 2025
273099d
docs: add ts files
aayush0325 Jun 28, 2025
47b35fd
docs: update description
aayush0325 Jun 29, 2025
ae65ee9
docs: add readme
aayush0325 Jun 29, 2025
cebf9eb
docs: add repl.txt
aayush0325 Jun 29, 2025
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test: add ndarray tests 
---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
  • Loading branch information
@aayush0325
aayush0325 committed Jun 27, 2025
commit 03a8196221df28f87f53889b0fe917413addc331
192 changes: 192 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dlanv2/test/test.ndarray.js
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,9 @@ var B_EQ_ZERO = require( './fixtures/b_eq_zero.json' );
var A_EQ_D_OPP_SIGN = require( './fixtures/a_eq_d_opp_sign.json' );
var Z_GT_MULTPLEPS = require( './fixtures/z_gt_multpleps.json' );
var Z_LT_MULTPLEPS = require( './fixtures/z_lt_multpleps.json' );
var SCALE_GT_SAFMAX = require( './fixtures/scale_gt_safmax.json' );
var SCALE_LT_SAFMIN = require( './fixtures/scale_lt_safmin.json' );
var Z_LT_MULTPLEPS_B_EQ_ZERO = require( './fixtures/z_lt_mutpleps_b_eq_zero.json' );


// TESTS //
Expand Down Expand Up @@ -363,3 +366,192 @@ tape( 'the function returns expected output for Z < MULTPL * EPS', function test

t.end();
});

tape( 'the function returns expected output for very large values', function test( t ) {
var RT1R_OUT;
var RT1I_OUT;
var RT2R_OUT;
var RT2I_OUT;
var CS_OUT;
var SN_OUT;
var A_OUT;
var B_OUT;
var C_OUT;
var D_OUT;
var data;
var RT1R;
var RT1I;
var RT2R;
var RT2I;
var CS;
var SN;
var A;
var B;
var C;
var D;

data = SCALE_GT_SAFMAX;

A = new Float64Array( data.A );
B = new Float64Array( data.B );
C = new Float64Array( data.C );
D = new Float64Array( data.D );
RT1R = new Float64Array( data.RT1R );
RT1I = new Float64Array( data.RT1I );
RT2R = new Float64Array( data.RT2R );
RT2I = new Float64Array( data.RT2I );
CS = new Float64Array( data.CS );
SN = new Float64Array( data.SN );

dlanv2( A, data.offsetA, B, data.offsetB, C, data.offsetC, D, data.offsetD, RT1R, data.offsetRT1R, RT1I, data.offsetRT1I, RT2R, data.offsetRT2R, RT2I, data.offsetRT2I, CS, data.offsetCS, SN, data.offsetSN );

A_OUT = new Float64Array( data.A_OUT );
B_OUT = new Float64Array( data.B_OUT );
C_OUT = new Float64Array( data.C_OUT );
D_OUT = new Float64Array( data.D_OUT );
RT1R_OUT = new Float64Array( data.RT1R_OUT );
RT1I_OUT = new Float64Array( data.RT1I_OUT );
RT2R_OUT = new Float64Array( data.RT2R_OUT );
RT2I_OUT = new Float64Array( data.RT2I_OUT );
CS_OUT = new Float64Array( data.CS_OUT );
SN_OUT = new Float64Array( data.SN_OUT );

t.deepEqual( A, A_OUT, 'returns expected value' );
t.deepEqual( B, B_OUT, 'returns expected value' );
t.deepEqual( C, C_OUT, 'returns expected value' );
t.deepEqual( D, D_OUT, 'returns expected value' );
t.deepEqual( RT1R, RT1R_OUT, 'returns expected value' );
t.deepEqual( RT1I, RT1I_OUT, 'returns expected value' );
t.deepEqual( RT2R, RT2R_OUT, 'returns expected value' );
t.deepEqual( RT2I, RT2I_OUT, 'returns expected value' );
t.deepEqual( CS, CS_OUT, 'returns expected value' );
t.deepEqual( SN, SN_OUT, 'returns expected value' );

t.end();
});

tape( 'the function returns expected output for very small values', function test( t ) {
var RT1R_OUT;
var RT1I_OUT;
var RT2R_OUT;
var RT2I_OUT;
var CS_OUT;
var SN_OUT;
var A_OUT;
var B_OUT;
var C_OUT;
var D_OUT;
var data;
var RT1R;
var RT1I;
var RT2R;
var RT2I;
var CS;
var SN;
var A;
var B;
var C;
var D;

data = SCALE_LT_SAFMIN;

A = new Float64Array( data.A );
B = new Float64Array( data.B );
C = new Float64Array( data.C );
D = new Float64Array( data.D );
RT1R = new Float64Array( data.RT1R );
RT1I = new Float64Array( data.RT1I );
RT2R = new Float64Array( data.RT2R );
RT2I = new Float64Array( data.RT2I );
CS = new Float64Array( data.CS );
SN = new Float64Array( data.SN );

dlanv2( A, data.offsetA, B, data.offsetB, C, data.offsetC, D, data.offsetD, RT1R, data.offsetRT1R, RT1I, data.offsetRT1I, RT2R, data.offsetRT2R, RT2I, data.offsetRT2I, CS, data.offsetCS, SN, data.offsetSN );

A_OUT = new Float64Array( data.A_OUT );
B_OUT = new Float64Array( data.B_OUT );
C_OUT = new Float64Array( data.C_OUT );
D_OUT = new Float64Array( data.D_OUT );
RT1R_OUT = new Float64Array( data.RT1R_OUT );
RT1I_OUT = new Float64Array( data.RT1I_OUT );
RT2R_OUT = new Float64Array( data.RT2R_OUT );
RT2I_OUT = new Float64Array( data.RT2I_OUT );
CS_OUT = new Float64Array( data.CS_OUT );
SN_OUT = new Float64Array( data.SN_OUT );

t.deepEqual( A, A_OUT, 'returns expected value' );
t.deepEqual( B, B_OUT, 'returns expected value' );
t.deepEqual( C, C_OUT, 'returns expected value' );
t.deepEqual( D, D_OUT, 'returns expected value' );
t.deepEqual( RT1R, RT1R_OUT, 'returns expected value' );
t.deepEqual( RT1I, RT1I_OUT, 'returns expected value' );
t.deepEqual( RT2R, RT2R_OUT, 'returns expected value' );
t.deepEqual( RT2I, RT2I_OUT, 'returns expected value' );
t.deepEqual( CS, CS_OUT, 'returns expected value' );
t.deepEqual( SN, SN_OUT, 'returns expected value' );

t.end();
});

tape( 'the function returns expected output when B = 0 post rotation', function test( t ) {
var RT1R_OUT;
var RT1I_OUT;
var RT2R_OUT;
var RT2I_OUT;
var CS_OUT;
var SN_OUT;
var A_OUT;
var B_OUT;
var C_OUT;
var D_OUT;
var data;
var RT1R;
var RT1I;
var RT2R;
var RT2I;
var CS;
var SN;
var A;
var B;
var C;
var D;

data = Z_LT_MULTPLEPS_B_EQ_ZERO;

A = new Float64Array( data.A );
B = new Float64Array( data.B );
C = new Float64Array( data.C );
D = new Float64Array( data.D );
RT1R = new Float64Array( data.RT1R );
RT1I = new Float64Array( data.RT1I );
RT2R = new Float64Array( data.RT2R );
RT2I = new Float64Array( data.RT2I );
CS = new Float64Array( data.CS );
SN = new Float64Array( data.SN );

dlanv2( A, data.offsetA, B, data.offsetB, C, data.offsetC, D, data.offsetD, RT1R, data.offsetRT1R, RT1I, data.offsetRT1I, RT2R, data.offsetRT2R, RT2I, data.offsetRT2I, CS, data.offsetCS, SN, data.offsetSN );

A_OUT = new Float64Array( data.A_OUT );
B_OUT = new Float64Array( data.B_OUT );
C_OUT = new Float64Array( data.C_OUT );
D_OUT = new Float64Array( data.D_OUT );
RT1R_OUT = new Float64Array( data.RT1R_OUT );
RT1I_OUT = new Float64Array( data.RT1I_OUT );
RT2R_OUT = new Float64Array( data.RT2R_OUT );
RT2I_OUT = new Float64Array( data.RT2I_OUT );
CS_OUT = new Float64Array( data.CS_OUT );
SN_OUT = new Float64Array( data.SN_OUT );

t.deepEqual( A, A_OUT, 'returns expected value' );
t.deepEqual( B, B_OUT, 'returns expected value' );
t.deepEqual( C, C_OUT, 'returns expected value' );
t.deepEqual( D, D_OUT, 'returns expected value' );
t.deepEqual( RT1R, RT1R_OUT, 'returns expected value' );
t.deepEqual( RT1I, RT1I_OUT, 'returns expected value' );
t.deepEqual( RT2R, RT2R_OUT, 'returns expected value' );
t.deepEqual( RT2I, RT2I_OUT, 'returns expected value' );
t.deepEqual( CS, CS_OUT, 'returns expected value' );
t.deepEqual( SN, SN_OUT, 'returns expected value' );

t.end();
});
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