# ADR-0002 - Avoid using Java serialization

## Status

- ACCEPTED on 2023-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

# ADR-0005 - Introduce a UI architecture module to the core platform

## Status

- ACCEPTED on 2024-02-07

## Context

The Gradle core platform provides many services to the Gradle platforms and builds logic. One such group of services allows logic to interact with the build user, to provide diagnostics, progress information, prompt for questions, and so on. Currently, these services are part of the core platform runtime architecture module.

    .build();
client.newCall(newYorkTimesRequest).enqueue(new Callback() {
  ...
});
```

Running this race over home WiFi shows the Times (`0002`) completes just slightly sooner than the Post (`0001`):

```
0001 https://www.washingtonpost.com/
0001 0.000 callStart
0002 https://www.nytimes.com/
0002 0.000 callStart
0002 0.010 dnsStart
0001 0.013 dnsStart
0001 0.022 dnsEnd
0002 0.019 dnsEnd

            }

            @Override
            public String getQueryBoostFuzzyContent() {
                return "0.005";
            }

            @Override
            public BigDecimal getQueryBoostFuzzyContentAsDecimal() {
                return new BigDecimal("0.005");
            }

            @Override
            public String getQueryDismaxTieBreaker() {
                return "0.1";

                "xxx:aaa");
        assertQueryBuilder(WildcardQueryBuilder.class, //
                "{\"wildcard\":{\"url\":{\"wildcard\":\"*aaa*\",\"boost\":1.0}}}", //

ziness\":\"AUTO\",\"prefix_length\":0,\"max_expansions\":10,\"transpositions\":true,\"boost\":0.01}}},{\"fuzzy\":{\"content\":{\"value\":\"QUERY1\",\"fuzziness\":\"AUTO\",\"prefix_length\":0,\"max_expansions\":10,\"transpositions\":true,\"boost\":0.005}}}],\"adjust_pure_negative\":true,\"boost\":1.0}},\"functions\":[{\"filter\":{\"match_all\":{\"boost\":1.0}},\"field_value_factor\":{\"field\":\"boost\",\"factor\":1.0,\"modifier\":\"none\"}}],\"score_mode\":\"multiply\",\"max_boost\":3.4028235E38,\"boost\":1.0}}",...

query.boost.fuzzy.title.prefix_length=0
# Whether to allow transpositions in fuzzy title queries.
query.boost.fuzzy.title.transpositions=true
# Boost value for fuzzy content queries.
query.boost.fuzzy.content=0.005
# Fuzziness for fuzzy content queries.
query.boost.fuzzy.content.fuzziness=AUTO
# Number of expansions for fuzzy content queries.
query.boost.fuzzy.content.expansions=10
# Prefix length for fuzzy content queries.

    /** The key of the configuration. e.g. true */
    String QUERY_BOOST_FUZZY_TITLE_TRANSPOSITIONS = "query.boost.fuzzy.title.transpositions";

    /** The key of the configuration. e.g. 0.005 */
    String QUERY_BOOST_FUZZY_CONTENT = "query.boost.fuzzy.content";

    /** The key of the configuration. e.g. AUTO */
    String QUERY_BOOST_FUZZY_CONTENT_FUZZINESS = "query.boost.fuzzy.content.fuzziness";

    from that library.
*   tf.keras.optimizers default learning rate changes:
    *   Adadelta: 1.000 to 0.001
    *   Adagrad: 0.01 to 0.001
    *   Adamax: 0.002 to 0.001
    *   NAdam: 0.002 to 0.001

## Bug Fixes and Other Changes

*   Documentation
*   Deprecations and Symbol renames.
    *   Remove unused StringViewVariantWrapper