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Sparse Column Pointer Layout Validator

Validate CSC pointer arity, monotonicity, final entry count and minor bounds; duplicates/unsorted minor indexes remain legal observations.

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Description

Validate CSC pointer arity, monotonicity, final entry count and minor bounds; duplicates/unsorted minor indexes remain legal observations.

A sparse matrix can be stored as coordinate triplets or as pointer/index/value arrays. Stored entries are not necessarily distinct numerical nonzeros: duplicates and explicit zeros can matter to representation checks. Row and column coordinates here are zero-based, and omitted entries are handled only as stated for the particular operation.

Validate CSC pointer arity, monotonicity, final entry count and minor bounds; duplicates/unsorted minor indexes remain legal observations.

When to use this tool

Use this tool to validate CSC pointer arity, monotonicity, final entry count and minor bounds; duplicates/unsorted minor indexes remain legal observations.

How to use the tool and how it works

  1. Enter pointers, indexes, values, major, minor using the field definitions below.
  2. Run the operation. Correct input errors before interpreting an output.
  3. Read result.valid, result.entries, result.emptyMajorIndexes. Use the ordering, boundary rules and absence conditions described below.

Validate column-pointer layout and return valid true, stored-entry count and empty column indexes.1

Input fieldMeaning and unitsAccepted input
pointersZero-based cumulative row or column pointers, starting at 0 and ending at entry count.Dense list of at most 128 finite numbers; integer/shape constraints above also apply.
indexesMinor-axis integer indexes aligned with values, not source-record positions.Dense list of at most 128 finite numbers; integer/shape constraints above also apply.
valuesFinite stored entry values aligned with indexes.Dense list of at most 128 finite numbers; integer/shape constraints above also apply.
majorRow count for row pointers; column count for column pointers. Integer 0–127.A finite safe integer within the operation’s stated bounds.
minorOpposite-axis size, an integer 0–128.A finite safe integer within the operation’s stated bounds.
Output fieldInterpretation
resultObject containing the named fields below.
result.validTrue after the layout/record validation succeeds; malformed input causes an error.
result.entriesNumber of explicitly stored entries, including duplicate and zero records.
result.emptyMajorIndexesZero-based rows or columns whose adjacent pointers are equal.
json
{
  "input": {
    "pointers": [
      0,
      0,
      1
    ],
    "indexes": [
      1
    ],
    "values": [
      2
    ],
    "major": 2,
    "minor": 2
  },
  "output": {
    "result": {
      "valid": true,
      "entries": 1,
      "emptyMajorIndexes": [
        0
      ]
    }
  }
}

Limitations and assumptions

  • Invalid layouts raise errors; duplicate and unsorted row indexes do not make a layout invalid.
  • Triplets are JSON records with row, column and value. Coordinate shapes are ordinarily bounded to 128 per axis; compressed major dimensions are limited to 127 for pointer-list capacity. The dense-budget operation has separate larger shape limits and returns exact counts as decimal text.
  • Every declared top-level input field is required and unexpected fields are rejected. Ordinary strings are limited to 8,192 UTF-16 code units and lists to 128 entries, with tighter operation-specific bounds where stated. JSON text has bounded nesting and node counts.
  • Numeric outputs must be finite and no larger in absolute magnitude than the safe-integer limit; operations returning exact large integers use decimal text. Positions are zero-based and spans end exclusively unless the operation explicitly states a different convention.

Alternative or Complementary methods

Distinguish stored-record counts, coordinate-pattern checks and arithmetic matrix properties. Combine duplicates or prune zeros explicitly when required, and use a matrix library for numerical linear algebra.

References

  1. Tool behavior and example: Sparse Column Pointer Layout Validator — tool.io

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