val rootDirFiles = projectDir.resolve("build").walk().toList()

        archiveFileNames.forEach { fileName ->
            assertTrue(rootDirFiles.any { it.name == fileName })
        }
    }

    private
    fun assertLeftoverFilesCleanedUpEventually(vararg leftoverFiles: String) {
        leftoverFiles.forEach {
            assertTrue(projectDir.resolve(it).walk().filter { it.isFile }.toList().isEmpty())
        }

{
  "fess_log.favorite_log" : {
    "aliases" : { },
    "mappings" : {
      "favorite_log" : {
        "properties" : {
          "createdAt" : {
            "type" : "date",
            "format" : "date_optional_time"
          },
          "docId" : {
            "type" : "keyword"
          },
          "queryId" : {
            "type" : "keyword"
          },
          "url" : {
            "type" : "keyword"
          },

	s := fmt.Sprintf("%s %s: %s", e.msg, e.context, loc)
	if e.readerErr != nil {
		s += "\nreader error: " + e.readerErr.Error()
	}
	return s
}

// quoteChar formats c as a quoted character literal
func quoteChar(c byte) string {
	// special cases - different from quoted strings
	if c == '\'' {
		return `'\''`
	}
	if c == '"' {
		return `'"'`
	}

        } else if (Constants.NTLM.equals(scheme)) {
            final Properties props = new Properties();
            paramMap.entrySet().stream().filter(e -> e.getKey().startsWith("jcifs.")).forEach(e -> {
                props.setProperty(e.getKey(), e.getValue());
            });
            authScheme = new NTLMScheme(new JcifsEngine(props));
        } else if (Constants.FORM.equals(scheme)) {

            final String[] oldLabels = DocumentUtil.getValue(dataMap, fessConfig.getIndexFieldLabel(), String[].class);
            StreamUtil.stream(oldLabels).of(stream -> stream.forEach(newLabelSet::add));
            matchedLabelSet.stream().forEach(newLabelSet::add);
            dataMap.put(fessConfig.getIndexFieldLabel(), newLabelSet.toArray(new String[newLabelSet.size()]));
        }

        "mapping": {
          "type": "keyword"
        },
        "match": "*",
        "match_mapping_type": "string"
      }
    }
  ],
  "properties": {
    "@timestamp": {
      "type": "date",
      "format": "epoch_millis"
    },
    "docFreq": {
      "type": "long"
    },
    "fields": {
      "type": "keyword"
    },
    "kinds": {
      "type": "keyword"
    },
    "queryFreq": {

  """
  if not question:
    question = 'Do you wish to build TensorFlow with {} support?'.format(
        query_item)
  if not yes_reply:
    yes_reply = '{} support will be enabled for TensorFlow.'.format(query_item)
  if not no_reply:
    no_reply = 'No {}'.format(yes_reply)

  yes_reply += '\n'
  no_reply += '\n'

  if enabled_by_default:
    question += ' [Y/n]: '
  else:

tion(a,c){if(0===a.length)return a;if(!("numeral"in b))throw new ReferenceError('Using sanitation function "numberFormat" requires that you include numeral.js (http://numeraljs.com/)');return a=numeral().unformat(a),a=numeral(a).format(c.attr("data-sanitize-number-format"))},strip:function(b,c){var d=c.attr("data-sanitize-strip")||"";return a.split(d,function(c){var d=new RegExp(a.isNumeric(c)?c:"\\"+c,"g");b=b.replace(d,"")}),b},escape:function(b,c){var d=c.valAttr("is-escaped"),e={"<":"__%AMP%...

                    "properties": {
                        "files": {
                            "title": "Files",
                            "type": "array",
                            "items": {"type": "string", "format": "binary"},
                        }
                    },
                },
                "Body_create_files_files__post": {
                    "title": "Body_create_files_files__post",

                    "properties": {
                        "files": {
                            "title": "Files",
                            "type": "array",
                            "items": {"type": "string", "format": "binary"},
                            "description": "Multiple files as bytes",
                        }
                    },
                },
                "Body_create_upload_files_uploadfiles__post": {