// For example, values that can pass this regular expression are:
// - "123"
// - "abc456"
// -"%$#@789"
var regFullDataType = regexp.MustCompile(`\D*(\d+)\D?`)

// TODO:? Create const vars for raw sql queries ?

var _ gorm.Migrator = (*Migrator)(nil)

// Migrator m struct
type Migrator struct {
	Config
}

// Config schema config
type Config struct {
	CreateIndexAfterCreateTable bool

        setSuppliedDomain(suppliedDomain);
        setSuppliedWorkstation(suppliedWorkstation);
    }

    /**
     * Creates a Type-1 message using the given raw Type-1 material.
     *
     * @param material
     *            The raw Type-1 material used to construct this message.
     * @throws IOException
     *             If an error occurs while parsing the material.
     */

   * 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

            }
        }
        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;

      |
      | * _1.0_ May 6, 2013
      | * _1.1_ June 15, 2013
      | * _1.2_ August 11, 2013
      |
      """.trimMargin()

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

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

	}
	// Try base 64
	dst := make([]byte, base64.StdEncoding.DecodedLen(len(priv)))
	if n, err := base64.StdEncoding.Decode(dst, priv); err == nil {
		return x509.ParsePKCS1PrivateKey(dst[:n])
	}
	// Try Raw, return error
	return x509.ParsePKCS1PrivateKey(priv)
}

func fatalErr(err error) {
	if err == nil {
		return
	}
	log.Fatalln(err)
}

func fatalIf(b bool, msg string, v ...interface{}) {
	if !b {

        + "\n"
        + " * _1.0_ May 6, 2013\n"
        + " * _1.1_ June 15, 2013\n"
        + " * _1.2_ August 11, 2013\n";

    Request request = new Request.Builder()
        .url("https://api.github.com/markdown/raw")
        .post(RequestBody.create(postBody, MEDIA_TYPE_MARKDOWN))
        .build();

    try (Response response = client.newCall(request).execute()) {

                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);

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

	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))
	}