response3, err := s.client.Do(request)
	c.Assert(err, nil)
	c.Assert(response3.StatusCode, http.StatusOK)

	// The reason to duplicate this structure here is to verify if the
	// unmarshalling works from a client perspective, specifically
	// while unmarshalling time.Time type for 'Initiated' field.
	// time.Time does not honor xml marshaller, it means that we need
	// to encode/format it before giving it to xml marshaling.

* 💚 Fix disabling install of Material for MkDocs Insiders in forks, strike 1 ⚾. PR [#2340](https://github.com/tiangolo/fastapi/pull/2340) by [@tiangolo](https://github.com/tiangolo).
* 🐛 Fix disabling Material for MkDocs Insiders install in forks. PR [#2339](https://github.com/tiangolo/fastapi/pull/2339) by [@tiangolo](https://github.com/tiangolo).

name: Close inactive issues
on:
  schedule:
    - cron: "30 1 * * *"

permissions:
  contents: read

jobs:
  close-issues:
    # Don't do this in forks
    if: github.repository == 'tensorflow/tensorflow'
    runs-on: ubuntu-latest
    permissions:
      issues: write
      pull-requests: write
    steps:
      - name: Awaiting response issues

# put linux first in the target list to get all the architectures up front.
linux_targets() {
	selectedtargets | grep 'linux' | sort
}

non_linux_targets() {
	selectedtargets | grep -v 'linux' | sort
}

# Note words in $targets are separated by both newlines and spaces.
targets="$(linux_targets) $(non_linux_targets)"

failed=false
for target in $targets
do
	echo ""
	echo "### Building $target"

If you're seeing this message then switch the development to 'main':
git checkout main

Development for branch 8x remains in the shared repository:

- https://gitbox.apache.org/repos/asf/lucene-solr.git

## GitHub forks?

If you are using GitHub, make a clone of the corresponding repository
mirror and create your pull requests against the main branch:

- Lucene: <https://github.com/apache/lucene>

     * @param fieldName The field name.
     * @param words The words to filter by.
     * @return The QueryBuilder instance.
     */
    protected QueryBuilder buildFilterQuery(final String fieldName, final List<String> words) {
        final BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery().minimumShouldMatch(1);
        words.stream().forEach(word -> boolQueryBuilder.should(QueryBuilders.termQuery(fieldName, word)));

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

////

## Recap { #recap }

Apart from all the fancy words used here, the **Dependency Injection** system is quite simple.

Just functions that look the same as the *path operation functions*.

     * @param words the list of popular words
     * @param total the total number of words
     * @param items the list of suggested items
     */
    public PopularWordsResponse(final String index, final long tookMs, final List<String> words, final long total,
            final List<SuggestItem> items) {
        this.index = index;
        this.tookMs = tookMs;
        this.words = words;
        num = words.size();

                return Collections.emptyList();
            }

            List<AnalyzeToken> tokens = new ArrayList<>();
            String[] words = text.trim().split("[\\s@#$.,!?;:()\\[\\]{}\"']+");

            int position = 0;
            int offset = 0;
            for (String word : words) {
                if (!word.isEmpty()) {
                    int startOffset = text.indexOf(word, offset);

                final String[] words = SuggestUtil.parseQuery(queryString, field);
                if (words.length == 0) {
                    continue;
                }

                final String[][] readings = new String[words.length][];
                for (int j = 0; j < words.length; j++) {
                    words[j] = normalizer.normalize(words[j], field, "");