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Merge branch 'main' into feature/zensical
# Conflicts: # Taskfile.yml
2 parents d65bc86 + def2f60 commit 3803cf5

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.markdownlint.jsonc

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{
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"default": true,
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"MD012": false,
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"MD013": false,
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"MD007": {
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"indent": 4
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},
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"MD033": {
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"allowed_elements": [
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"figure",
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"figcaption",
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"div",
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"details",
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"summary",
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"a",
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"p",
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"br",
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"cite",
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"details",
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"div",
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"figcaption",
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"figure",
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"img",
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"p",
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"span",
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"br"
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"summary"
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]
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},
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"MD035": false,
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"MD036": false,
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"MD041": false,
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"MD045": false,
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"MD046": false,
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"MD059": false,
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"MD060": false
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}
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}

CONTRIBUTING.md

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👍🎉 First off, thanks for taking the time to contribute! 🎉👍
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The following is a set of guidelines for contributing to the eccenca Corporate Memory documention project.
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The following is a set of guidelines for contributing to the eccenca Corporate Memory documentation project.
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## How Can I Contribute?
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Taskfile.yml

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vars:
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PUBLIC_BRANCH: published
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CURRENT_VERSION: 25.3
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CURRENT_VERSION: 26.1
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MATERIAL_TAG: 9.6.14
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MATERIAL_INSIDER_TAG: 9.6.14-insiders-4.53.16
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tasks:
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ICON_DIR: overrides/.icons/eccenca
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update:cmemc:
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desc: re-generates the cmemc command reference
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desc: re-generates the cmemc command reference (needs local cmemc)
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cmds:
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- rm -rf {{.REFERENCE_DIR}}/*
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- cmemc manual --format markdown-multi-page --output-dir {{.REFERENCE_DIR}}
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vars:
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REFERENCE_DIR: docs/automate/cmemc-command-line-interface/command-reference
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update:shape-reference:
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desc: re-generates the shape and datatype references
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desc: re-generates the shape and datatype references (needs local CO)
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summary: >
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This task uses a running Corporate Memory to upload a specification for
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a custom markdown endpoint (see shapedocu.ttl in
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SRC: tools/update-shape-reference
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update:di-reference:
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desc: update the task and operator reference pages
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desc: update the task and operator reference pages (needs local CO)
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cmds:
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- poetry run dec-tool update-di-reference
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update:integrations:
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desc: update integrations page
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desc: update integrations page (needs data/integrations.yml)
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cmds:
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- poetry run dec-tool update-integrations
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} | xargs -0 poetry run rumdl --config .markdownlint.jsonc check --fix
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check:rumdl:
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desc: run rumdl (md-linter) for style issues
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desc: run rumdl (md-linter) for style issues without failing the check stage
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cmds:
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- mkdir -p ./dist
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- rm -f ./dist/md-lint-issues.xml
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# no recursion (top-level only)
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find . -maxdepth 1 -type f -name '*.md' -print0
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} | xargs -0 poetry run rumdl --config .markdownlint.jsonc check
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} | xargs -0 poetry run rumdl --config .markdownlint.jsonc check || {
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echo "rumdl reported markdown style issues; continuing without failing the check stage."
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true
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}

data/integrations.yml

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# Databases
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#####
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- name: Hive
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icon: ":simple-apachehive:"
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content: |
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Read from or write to an embedded Apache {{p.Hive}} endpoint.
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- name: pgvector
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icon: ":black_large_square:"
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content: |
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Store vector embeddings into [pgvector](https://github.com/pgvector/pgvector)
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using the {{p.cmem_plugin_pgvector_Search}}.
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- name: Neo4J
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icon: ":simple-neo4j:"
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content: |
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Use the {{p.neo4j}} dataset for reading and writing [Neo4j graphs](https://neo4j.com/).
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- name: PostgreSQL
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icon: ":simple-postgresql:"
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- name: Snowflake
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icon: ":simple-snowflake:"
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content: |
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PostgreSQL can be accessed with the {{p.Jdbc}} dataset and a
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[JDBC driver](https://central.sonatype.com/artifact/org.postgresql/postgresql/versions).
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Snowflake can be accessed with the {{p.SnowflakeJdbc}} dataset (JDBC driver included).
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- name: MariaDB
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icon: ":simple-mariadb:"
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- name: Microsoft SQL
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icon: ":material-microsoft:"
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content: |
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MariaDB can be accessed with the {{p.Jdbc}} dataset and a
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[JDBC driver](https://central.sonatype.com/artifact/org.mariadb.jdbc/mariadb-java-client/overview).
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The Microsoft SQL Server can be accessed with the {{p.Jdbc}} dataset (JDBC driver included).
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- name: SQLite
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icon: ":simple-sqlite:"
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- name: PostgreSQL
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icon: ":simple-postgresql:"
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content: |
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SQLite can be accessed with the {{p.Jdbc}} dataset and a
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[JDBC driver](https://central.sonatype.com/artifact/org.xerial/sqlite-jdbc).
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PostgreSQL can be accessed with the {{p.Jdbc}} dataset (JDBC driver included).
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- name: MySQL
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icon: ":simple-mysql:"
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content: |
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MySQL can be accessed with the {{p.Jdbc}} dataset and a
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[JDBC driver](https://central.sonatype.com/artifact/org.mariadb.jdbc/mariadb-java-client/overview).
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- name: Hive
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icon: ":simple-apachehive:"
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content: |
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Read from or write to an embedded Apache {{p.Hive}} endpoint.
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- name: Microsoft SQL
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icon: ":material-microsoft:"
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content: |
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The Microsoft SQL Server can be accessed with the {{p.Jdbc}} dataset and a
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[JDBC driver](https://central.sonatype.com/artifact/com.microsoft.sqlserver/mssql-jdbc).
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MySQL can be accessed with the {{p.Jdbc}} dataset (JDBC driver included).
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- name: Snowflake
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icon: ":simple-snowflake:"
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- name: MariaDB
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icon: ":simple-mariadb:"
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content: |
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Snowflake can be accessed with the {{p.SnowflakeJdbc}} dataset and a
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[JDBC driver](https://central.sonatype.com/artifact/net.snowflake/snowflake-jdbc).
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MariaDB can be accessed with the {{p.Jdbc}} dataset (JDBC driver included).
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- name: pgvector
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icon: ":black_large_square:"
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- name: SQLite
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icon: ":simple-sqlite:"
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content: |
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Store vector embeddings into [pgvector](https://github.com/pgvector/pgvector)
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using the {{p.cmem_plugin_pgvector_Search}}.
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SQLite can be accessed with the {{p.Jdbc}} dataset and a
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[Custom JDBC driver](https://central.sonatype.com/artifact/org.xerial/sqlite-jdbc).
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Please have a look at
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[Setup and use of JDBC Drivers](../../deploy-and-configure/configuration/dataintegration/jdbc/index.md).
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- name: Trino
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icon: ":simple-trino:"
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content: |
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[Trino](https://github.com/trinodb/trino) can be access with the
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{{p.Jdbc}} dataset and a [JDBC driver](https://trino.io/docs/current/client/jdbc.html).
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[Trino](https://github.com/trinodb/trino) can be access with the {{p.Jdbc}} dataset and a
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[Custom JDBC driver](https://trino.io/docs/current/client/jdbc.html).
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Please have a look at
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[Setup and use of JDBC Drivers](../../deploy-and-configure/configuration/dataintegration/jdbc/index.md).
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- name: Databricks
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icon: ":simple-databricks:"
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content: |
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[Databricks](http://databricks.com/) can be accessed with the {{p.Jdbc}} dataset and a
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[Custom JDBC driver](https://github.com/databricks/databricks-jdbc).
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Please have a look at
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[Setup and use of JDBC Drivers](../../deploy-and-configure/configuration/dataintegration/jdbc/index.md).
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