.addHeader("Content-Type: text/plain")
        .addHeader("Last-Modified: " + formatDate(-2, TimeUnit.HOURS))
        .addHeader("Expires: " + formatDate(-1, TimeUnit.HOURS))
        .build(),
    )
    server.enqueue(
      MockResponse
        .Builder()
        .code(HttpURLConnection.HTTP_NOT_MODIFIED)
        .addHeader("Content-Type: text/plain")
        .addHeader("Content-Encoding: gzip")

errors.login.failure = Login gagal.
errors.app.illegal.transition = Transisi tidak valid. Silakan coba lagi.
errors.app.db.already.deleted = Mungkin telah dihapus oleh proses lain. Silakan coba lagi.
errors.app.db.already.updated = Mungkin telah diperbarui oleh proses lain. Silakan coba lagi.
errors.app.db.already.exists = Data sudah ada. Silakan coba lagi.
errors.app.double.submit.request = Mungkin telah diproses sebelum permintaan ini. Silakan coba lagi.

  }

  @Test fun binarySearchEmptyRange() {
    assertEquals(-1, binarySearch(0, 0) { error("unexpected call") })
  }

  /** Confirm the compact table has the exact same behavior as the plain table. */
  @Test fun comparePlainAndCompactTables() {
    val buffer = Buffer()
    for (codePoint in 0..0x10ffff) {
      val allowedByTable = table.map(codePoint, buffer)
      val tableMappedTo = buffer.readUtf8()

MINIO_NOTIFY_KAFKA_SASL_USERNAME               (string)                    username for SASL/PLAIN or SASL/SCRAM authentication
MINIO_NOTIFY_KAFKA_SASL_PASSWORD               (string)                    password for SASL/PLAIN or SASL/SCRAM authentication
MINIO_NOTIFY_KAFKA_SASL_MECHANISM              (plain*|sha256|sha512)      sasl authentication mechanism, default 'plain'

    assertThat(call.isCanceled()).isFalse()
  }

  private fun sleepingRequestBody(sleepMillis: Int): RequestBody =
    object : RequestBody() {
      override fun contentType(): MediaType? = "text/plain".toMediaTypeOrNull()

      @Throws(IOException::class)
      override fun writeTo(sink: BufferedSink) {
        try {
          sink.writeUtf8("abc")
          sink.flush()

                        .message(fieldDescription)
                        .defaultValue(field.getDefaultValue().get())
                        .addPrompt();
            } else {
                // ? plain input?
                promptBuilder
                        .createInputPrompt()
                        .name(fieldKey)
                        .message(fieldDescription)
                        .addPrompt();

                    final ZipExtractor zipExtractor = container.getComponent("zipExtractor");
                    final TarExtractor tarExtractor = container.getComponent("tarExtractor");
                    factory.addExtractor("text/plain", textExtractor);
                    factory.addExtractor("text/html", tikaExtractor);
                    factory.addExtractor("application/zip", zipExtractor);

            } else if (lowerPath.endsWith(".ttf")) {
                response.setContentType("font/ttf");
            } else if (lowerPath.endsWith(".txt")) {
                response.setContentType("text/plain");
            } else if (lowerPath.endsWith(".woff")) {
                response.setContentType("font/woff");
            } else if (lowerPath.endsWith(".woff2")) {
                response.setContentType("font/woff2");

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}

## Response with arbitrary `dict` { #response-with-arbitrary-dict }

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

{* ../../docs_src/path_operation_advanced_configuration/tutorial006_py39.py hl[19:36, 39:40] *}

In this example, we didn't declare any Pydantic model. In fact, the request body is not even <abbr title="converted from some plain format, like bytes, into Python objects">parsed</abbr> as JSON, it is read directly as `bytes`, and the function `magic_data_reader()` would be in charge of parsing it in some way.