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mtx228 B

Matrix Market: Symmetric Pattern, Lower Triangle Only (.mtx)

A symmetric pattern matrix carrying only positions and only the lower triangle, so nine stored lines describe sixteen non-zeros. Both halves of that (no value column and an implied mirror) are places a reader can silently disagree with the file.

Preview, first 14 linesmtx
%%MatrixMarket matrix coordinate pattern symmetric
% Pattern: no values at all, only the positions of the non-zeros.
% Symmetric: ONLY the lower triangle is stored; (i,j) implies (j,i).
6 6 9
1 1
2 1
3 2
4 1
4 3
5 4
6 2
6 5
6 6

Specifications

Field
pattern
Symmetry
symmetric
Rows
6
Columns
6
Stored Entries
9
Implied Entries
16
Diagonal Entries
2
Values Present
false
Rule
each off-diagonal stored entry implies its mirror

Testing contract

Expected to pass
Scenario
Expand the stored lower triangle into a full symmetric matrix and count the resulting non-zeros.
Expected result
Nine stored entries expand to sixteen non-zeros because the seven off-diagonal entries are mirrored and the two diagonal ones are not, and each line carries two indices and no value.

What is a .mtx file?

Matrix Market (.mtx) is a plain-text exchange format for sparse and dense matrices from NIST. A banner line declares the object, format, field, and symmetry, for example `%%MatrixMarket matrix coordinate real general`, comment lines follow, and then a size line gives rows, columns, and the number of stored entries. Coordinate entries list a 1-based row, a 1-based column, and a value, with symmetric matrices storing only the lower triangle.

How to use this file

Use an example .mtx file to test sparse-matrix loaders and numerical pipelines, verifying 1-based to 0-based index conversion, correct expansion of symmetric and pattern matrices, and that the declared entry count matches the data.

How to use this file for testing

“Matrix Market: Symmetric Pattern, Lower Triangle Only (.mtx)” is a deterministic Testaroo fixture for Scientific data, Editor testing. Citation catalogs (BibTeX, RIS), chemistry structures (MDL Molfile, PDB), and gridded binary data (NetCDF, FITS), for testing reference managers, molecule viewers, and scientific-data loaders.

Documented properties for this file: 6 rows · 6 columns. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Scientific fixtures are small, valid, and fully synthetic, no real organism, patient, sample, or observation. Point your parser or loader at the file and check it reads the documented records, variables, or headers; binary formats ship a readable twin or metadata listing for comparison.

Generated by generation/scientific.py. Free for any use, no attribution required, license.