devtoolset-7)
  # Download binary glibc 2.12 shared library release.
  wget "http://old-releases.ubuntu.com/ubuntu/pool/main/e/eglibc/libc6_2.12.1-0ubuntu6_amd64.deb" && \
      unar "libc6_2.12.1-0ubuntu6_amd64.deb" && \
      tar -C "${TARGET}" -xvzf "libc6_2.12.1-0ubuntu6_amd64/data.tar.gz" && \
      rm -rf "libc6_2.12.1-0ubuntu6_amd64.deb" "libc6_2.12.1-0ubuntu6_amd64"
  # Download binary glibc 2.12 development library release.

        map sigbuild-57469-python3.10 57469-python3.10
        # TF 2.12
        map sigbuild-r2.12 2.12-python3.9
        map sigbuild-r2.12-python3.8 2.12-python3.8
        map sigbuild-r2.12-python3.9 2.12-python3.9
        map sigbuild-r2.12-python3.10 2.12-python3.10
        map sigbuild-r2.12-python3.11 2.12-python3.11
        # TF 2.12 + Clang (containers are the same, but env vars in configs.bzl are different)

    testSortDescending(new byte[] {1, 3, 1}, 0, 1, new byte[] {1, 3, 1});
    testSortDescending(
        new byte[] {GREATEST - 1, 1, GREATEST - 2, 2},
        1,
        3,
        new byte[] {GREATEST - 1, GREATEST - 2, 1, 2});
  }

  public void testNulls() {
    new NullPointerTester().testAllPublicStaticMethods(UnsignedBytes.class);
  }

            # end up building the type adapter from a model field annotation so we
            # need to ignore the warning:
            if shared.PYDANTIC_VERSION_MINOR_TUPLE >= (2, 12):
                from pydantic.warnings import UnsupportedFieldAttributeWarning

                warnings.simplefilter(
                    "ignore", category=UnsupportedFieldAttributeWarning
                )

    testSortDescending(new byte[] {1, 3, 1}, 0, 1, new byte[] {1, 3, 1});
    testSortDescending(
        new byte[] {GREATEST - 1, 1, GREATEST - 2, 2},
        1,
        3,
        new byte[] {GREATEST - 1, GREATEST - 2, 1, 2});
  }

  public void testNulls() {
    new NullPointerTester().testAllPublicStaticMethods(UnsignedBytes.class);
  }

  private static boolean isJava8() {

	CMN R0.UXTW<<4, R16                        // 1f5220ab
	CMNW R13>>8, R9                            // 3f214d2b
	CMN R6->17, R3                             // 7f4486ab
	CMNW $(2<<12), R5                          // CMNW $8192, R5                // bf084031
	CMN $(8<<12), R12                          // CMN $32768, R12               // 9f2140b1
	CMN R6->0, R3                              // 7f0086ab

17: return bitPack18(b, r) case 19: return bitPack20(b, r) default: panic("mldsa: internal error: unsupported γ1") } } // bitPack18 implements BitPack(r mod± q, 2¹⁷-1, 2¹⁷), which packs the centered // coefficients of r into little-endian 18-bit chunks. It appends to buf. // // It must only be applied to r with coefficients in [−2¹⁷+1, 2¹⁷], as // guaranteed by the rejection conditions in Sign. func bitPack18(buf []byte, r ringElement) []byte { out, v := sliceForAppend(buf, 18*n/8) const b = 1 <<...

 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.
 * In cases where the mask was previously ignored, you will now get an error if you pass a mask with an incompatible shape.

### Major Features and Improvements

`tf.keras`: