"color": "red",
                "value": 80
              }
            ]
          },
          "unit": "short"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "Replication Errors"
            },
            "properties": [
              {
                "id": "color",
                "value": {

        final Matcher matcher = pattern.matcher(value);
        while (matcher.find()) {
            final String key = matcher.group(2);
            String replacement = System.getProperty(key);
            if (replacement == null) {
                replacement = matcher.group(1);
            }

                            "match_typed_subject_alt_names": [
                              {
                                "san_type": "URI",
                                "matcher": {
                                  "prefix": "spiffe://cluster.local/"
                                }
                              }
                            ]
                          },

#### CRD Watcher

For watches against custom types (CRDs), we want to gracefully handle missing CRDs. Naively starting informers against the missing types would result in errors and blocking startup. Instead, we introduce a "CRD Watcher" component that watches the CRDs in the cluster to determine if they are available or not.

                return null;
            }
            final Matcher matcher = Pattern.compile(pattern, Pattern.CASE_INSENSITIVE | Pattern.UNICODE_CASE).matcher(value);
            final StringBuffer buf = new StringBuffer(value.length() + 100);
            while (matcher.find()) {
                matcher.appendReplacement(buf, Matcher.quoteReplacement(highlightTagPre + matcher.group(0) + highlightTagPost));
            }

potentially exploit a vulnerability in the TensorFlow code that handles videos,
which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.

                    init();
                }
            }
        }
        return replaceUrl(cachedPathMappingList, url);
    }

    public BiFunction<String, Matcher, String> createPathMatcher(final Matcher matcher, final String replacement) { // for PathMapping
        if (FUNCTION_ENCODEURL_MATCHER.equals(replacement)) {
            return (u, m) -> DocumentUtil.encodeUrl(u);
        }

            {
              "options": {
                "match": "null",
                "result": {
                  "text": "N/A"
                }
              },
              "type": "special"
            }
          ],
          "unit": "bytes"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "Free"

        Pattern pidPattern = isWindows() ? WINDOWS_PID_PATTERN : UNIX_PID_PATTERN;

        psOutput.forEach(line -> {
            Matcher commandLineArgsMatcher = commandLineArgsPattern.matcher(line);
            Matcher pidMatcher = pidPattern.matcher(line);
            if (commandLineArgsMatcher.find() && pidMatcher.find()) {
                String pid = pidMatcher.group(1);
                if (!MY_PID.equals(pid)) {

        final List<Artifact> list = new ArrayList<>();
        final String repoContent = getRepositoryContent(url);
        final Matcher matcher = Pattern.compile("href=\"[^\"]*(" + artifactType.getId() + "[a-zA-Z0-9\\-]+)/?\"").matcher(repoContent);
        while (matcher.find()) {
            final String name = matcher.group(1);
            if (isExcludedName(artifactType, name)) {
                continue;
            }