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Include directive

An include directive instructs a text file processor to replace the directive text with the content of a specified file.

Standards, Language support & Overview

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Topic orientation

Include directive at a glance

The strongest research directions include Language support. Use the connected concepts below as starting points, not as a keyword checklist.

Research this topic

Explore the main themes, entities and connections around Include directive. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Language support

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Include directive

Top relations

related to Other languages · 12
Include directive → CommonJS, COPY QCPYLESRC, Fortran, HTML SSI, JavaScript, JSP, Lua, MASM, Other, PL/I, QBC, RPG IV
related to COBOL · 5
Include directive → An, BY, COBOL, RPG IV, The COBOL

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

file include header directive files modules including used languages one code use preprocessor import also may declarations library another without

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
a .mw-parser-output .monospacedinstance ofit is sometimes used to include a body file0.80text
Goinstance ofLanguages0.80text
Pythoninstance ofLanguages0.80text
Haskell support modularization via an import statementinstance ofLanguages0.80text
which makes the compiler/interpreter load a moduleinstance ofLanguages0.80text
resolving code through the linked moduleinstance ofLanguages0.80text
not by including textinstance ofLanguages0.80text
functionsinstance oflogically related groupings.A header file declares programming elements0.80text
classesinstance oflogically related groupings.A header file declares programming elements0.80text
variablesinstance oflogically related groupings.A header file declares programming elements0.80text
and preprocessor macrosinstance oflogically related groupings.A header file declares programming elements0.80text
Include directiverelated to COBOLCOBOL0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Map overview Semantic statistics

    Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

    Include directive

    Nodes60
    Edges59
    Triples28
    Avg. degree1.97
    Density0.033333
    Components1
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