Conversion scheme:

Source (English):

```
<abbr title="{full phrase}">{abbreviation}</abbr>
```

Result:

```
<abbr title="{full phrase} - {translation of full phrase}">{abbreviation}</abbr>
```

Examples:

### The abbr gives a full phrase { #the-abbr-gives-a-full-phrase }

* <abbr title="Getting Things Done">GTD</abbr>
* <abbr title="less than"><code>lt</code></abbr>
* <abbr title="XML Web Token">XWT</abbr>
* <abbr title="Parallel Server Gateway Interface">PSGI</abbr>

### The abbr gives a full phrase and an explanation { #the-abbr-gives-a-full-phrase-and-an-explanation }

    public void test_complexConditions() {
        final Map<String, String[]> conditions = new HashMap<>();
        conditions.put("q", new String[] { "search term" });
        conditions.put("epq", new String[] { "exact phrase" });
        conditions.put("oq", new String[] { "word1 word2" });
        conditions.put("nq", new String[] { "exclude" });
        conditions.put("filetype", new String[] { "pdf" });

        assertFalse(searchRequestParams.hasConditionQuery());
    }

    @Test
    public void test_hasConditionQuery_withExactPhraseQuery() {
        // Test with exact phrase query
        testParams.conditions.put(SearchRequestParams.AS_EPQ, new String[] { "exact phrase" });
        assertTrue(searchRequestParams.hasConditionQuery());
    }

    @Test
    public void test_hasConditionQuery_withOrQuery() {
        // Test with OR query

            boolQuery.minimumShouldMatch(minimumShouldMatch);
        }
        return new DefaultQueryBuilder(boolQuery);
    }

    /**
     * Builds a match phrase query, with special handling for single CJK characters.
     * For single CJK characters in title or content fields, uses prefix query instead.
     * @param f The field name.
     * @param text The text to search for.

     * The query is processed through the filter chain before being parsed.
     *
     * @param query the query string to parse
     * @return the parsed Query object
     * @throws QueryParseException if the query cannot be parsed
     */
    public Query parse(final String query) {
        return filterChain.parse(query);
    }

    /**
     * Creates a new Lucene query parser with the current configuration.

        }
        return convertTextQuery(fessConfig, context, termQuery, boost, field, text);
    }

    /**
     * Converts a term query to a text-based match phrase query.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param termQuery the term query to convert
     * @param boost the boost value to apply

### abbr が完全な語句を示す { #the-abbr-gives-a-full-phrase }

* <abbr title="Getting Things Done - 仕事を成し遂げること">GTD</abbr>
* <abbr title="less than - より小さい"><code>lt</code></abbr>
* <abbr title="XML Web Token - XML ウェブトークン">XWT</abbr>
* <abbr title="Parallel Server Gateway Interface - 並列サーバーゲートウェイインターフェース">PSGI</abbr>

### abbr が完全な語句と説明を示す { #the-abbr-gives-a-full-phrase-and-an-explanation }

        assertEquals(complexQuery, searchRenderData.getSearchQuery());

        // Test with special characters
        String specialQuery = "test + query - exclude \"exact phrase\" *wildcard?";
        searchRenderData.setSearchQuery(specialQuery);
        assertEquals(specialQuery, searchRenderData.getSearchQuery());
    }

    @Test
    public void test_setAndGetRequestedTime() {

## Technical Details { #technical-details }

Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.

Let's see that phrase by parts in the sections below:

* **Asynchronous Code**
* **`async` and `await`**
* **Coroutines**

## Asynchronous Code { #asynchronous-code }