}
    }

    /**
     * Create an {@code NtlmPasswordAuthentication} object with raw password
     * hashes. This is used exclusively by the {@code jcifs.smb1.http.NtlmSsp}
     * class which is in turn used by NTLM HTTP authentication functionality.
     */
    /**
     * Create an NtlmPasswordAuthentication object with raw password hashes.
     *
     * @param domain the authentication domain

   * we wanted to support legacy classes that implement the raw type {@code Comparable} (instead of
   * implementing {@code Comparable<Foo>}) without producing warnings. If so, we would prefer today
   * to produce warnings in that case, and we may change this method to do so in the future. Support
   * for raw {@code Comparable} types in Guava in general is tracked as <a

class PostFile {
  private val client = OkHttpClient()

  fun run() {
    val file = File("README.md")

    val request =
      Request(
        url = "https://api.github.com/markdown/raw".toHttpUrl(),
        body = file.asRequestBody(MEDIA_TYPE_MARKDOWN),
      )

    client.newCall(request).execute().use { response ->
      if (!response.isSuccessful) throw IOException("Unexpected code $response")

            }
        }
        cookey(kn, KnL);
    }

    private void cookey(final int[] raw, final int KnL[]) {
        int raw0, raw1;
        int rawi, KnLi;
        int i;

        for (i = 0, rawi = 0, KnLi = 0; i < 16; ++i) {
            raw0 = raw[rawi];
            rawi++;
            raw1 = raw[rawi++];
            KnL[KnLi] = (raw0 & 0x00fc0000) << 6;
            KnL[KnLi] |= (raw0 & 0x00000fc0) << 10;

	if len(setSQL) == 0 || len(getSQL) == 0 {
		return
	}

	err := DB.Connection(func(tx *gorm.DB) error {
		if err := tx.Exec(setSQL, expectedName).Error; err != nil {
			return err
		}

		if err := tx.Raw(getSQL).Scan(&actualName).Error; err != nil {
			return err
		}
		return nil
	})
	if err != nil {
		t.Errorf(fmt.Sprintf("WithSingleConnection should work, but got err %v", err))
	}

     * @return an {@link Optional} containing the file path, or empty if not set
     */
    @Nonnull
    Optional<String> logFile();

    /**
     * Returns whether raw streams should be logged.
     *
     * @return a boolean indicating whether raw streams should be logged
     */
    @Nonnull
    Optional<Boolean> rawStreams();

    /**
     * Returns the color setting for console output.
     *

                log.debug("Failed to load key from KeyStore: {}", e.getMessage());
            }
        }

        return key;
    }

    /**
     * Get raw key bytes
     *
     * @param sessionId unique session identifier
     * @return raw key bytes, or null if not found
     */
    public byte[] getRawKey(String sessionId) {
        checkNotClosed();

        byte[] key = rawKeys.get(sessionId);

      newCases += case.copy(wire = bytesOut.readByteString())
    }

    testDecoder(story.copy(cases = newCases))
  }

  companion object {
    private val RAW_DATA = arrayOf("raw-data")
  }

            if (x * i == n) return "${factor(x)} × $i"
          }
          return n.toString()
        }
      }

    val request =
      Request(
        url = "https://api.github.com/markdown/raw".toHttpUrl(),
        body = requestBody,
      )

    client.newCall(request).execute().use { response ->
      if (!response.isSuccessful) throw IOException("Unexpected code $response")

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could