Graph Declared Bipartition Edge Audit

Verify a supplied disjoint bipartition against each edge occurrence, reporting unknown endpoints and within-side edges rather than finding a new coloring.

Description

Verify a supplied disjoint bipartition against each edge occurrence, reporting unknown endpoints and within-side edges rather than finding a new coloring.

A bipartition assigns graph endpoints to two disjoint sides so each edge crosses between them.

When to use this tool

Verify a supplied disjoint bipartition against each edge occurrence, reporting unknown endpoints and within-side edges rather than finding a new coloring.

  • Prepare the supplied edgesJson, left, right fields for this operation.
  • Compare the complete example with the representation used by your own input before carrying the result into another step.

How to use the tool and how it works

  1. Enter edgesJson, left, right. Use the exact text syntax, units and index conventions explained below.
  2. Run the tool. If input validation fails, correct the supplied fields before interpreting any result.
  3. Read result.valid, result.violations. Interpret false, null and empty lists using the distinctions below; they can be valid outputs.

Require unique, disjoint left and right label lists. For every edge accept either cross-side orientation; report all others, including missing endpoints and loops.1

Input fieldMeaning and representationAccepted input
edgesJsonJSON text, entered as one text field. The decoded structure is illustrated below; it is not a separate file.Text
leftleft.List of strings; at most 128 entries
rightright.List of strings; at most 128 entries

For the JSON text fields, the following decoded structures show the example records before they are serialized into input strings. Keep field names, list nesting and value types as shown.

json
[
  {
    "field": "edgesJson",
    "decoded": [
      {
        "id": "a",
        "source": "u",
        "target": "v",
        "weight": 2
      },
      {
        "id": "b",
        "source": "v",
        "target": "u",
        "weight": 4
      },
      {
        "id": "c",
        "source": "u",
        "target": "u",
        "weight": 1
      }
    ]
  }
]
Output fieldInterpretation
resultObject containing the named outputs below.
result.validFlag for valid under the exact condition described above.
result.violationsSource positions or records that fail the specific screen above; an empty list means no such violation.
json
{
  "input": {
    "edgesJson": "[{\"id\":\"a\",\"source\":\"u\",\"target\":\"v\",\"weight\":2},{\"id\":\"b\",\"source\":\"v\",\"target\":\"u\",\"weight\":4},{\"id\":\"c\",\"source\":\"u\",\"target\":\"u\",\"weight\":1}]",
    "left": [
      "u"
    ],
    "right": [
      "v"
    ]
  },
  "output": {
    "result": {
      "valid": false,
      "violations": [
        2
      ]
    }
  }
}

Limitations and assumptions

  • The tool checks this proposed partition rather than searching for one. Edge weights do not affect the condition.
  • Every edge record requires unique string id, string source/target and finite numeric weight, even when this operation does not use the weight. Parallel endpoints and loops are retained unless explicitly filtered.
  • Every declared top-level field is required and unexpected fields are rejected. Numeric inputs must be finite; ordinary text fields are bounded to 8,192 UTF-16 code units, with tighter operation-specific limits where stated.
  • Lists are limited to 128 entries. JSON text must meet bounded size and depth checks, and numeric outputs beyond the safe finite magnitude are rejected. Exact large integers use decimal strings.
  • Indexes are zero-based and spans have an exclusive end unless explicitly stated otherwise. A valid false, null or empty-list result is distinct from malformed input.

Alternative or Complementary methods

Choose edge identities, directedness and vertex coverage explicitly. Local edge-list audits and transformations do not replace a graph algorithm with the required connectivity, path or ordering guarantees.

References

  1. Tool behavior and example: Graph Declared Bipartition Edge Audit — tool.io

Similar or alternative tools

  • Graph Complement Edge List

    Build the loop-free complement on an explicit bounded vertex set; parallel edges count as one adjacency and directed complements use ordered pairs.

  • Edge ID Trail Validity Check

    Verify an edge-ID trail with no repeated edge occurrences from an explicit start; directed or undirected traversal, with failure indexes retained.

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