gvk := group + "/" + version + "/" + kind
	bytes := sha256.Sum256([]byte(gvk))
	// Assuming there are N kinds in the cluster, and the hash is X-byte long,
	// the chance of colliding hash P(N,X) approximates to 1-e^(-(N^2)/2^(8X+1)).
	// P(10,000, 8) ~= 2.7*10^(-12), which is low enough.
	// See https://en.wikipedia.org/wiki/Birthday_problem#Approximations.
	return base64.StdEncoding.EncodeToString(bytes[:8])

public interface KaTypeProviderMixIn : KaSessionMixIn {
    public val builtinTypes: KaBuiltinTypes
        get() = withValidityAssertion { analysisSession.typeProvider.builtinTypes }

    /**
     * Approximates [KaType] with a supertype which can be rendered in a source code
     *
     * Return `null` if the type do not need approximation and can be rendered as is

					continue
				}
				b.ReplaceControl(i, x)
			}
		}
	}

	if f.pass.stats > 0 {
		f.LogStat("CSE REWRITES", rewrites)
	}
}

// An eqclass approximates an equivalence class. During the
// algorithm it may represent the union of several of the
// final equivalence classes.
type eqclass []*Value

// partitionValues partitions the values into equivalence classes

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.

	priv.E = 65537

	if nprimes < 2 {
		return nil, errors.New("crypto/rsa: GenerateMultiPrimeKey: nprimes must be >= 2")
	}

	if bits < 64 {
		primeLimit := float64(uint64(1) << uint(bits/nprimes))
		// pi approximates the number of primes less than primeLimit
		pi := primeLimit / (math.Log(primeLimit) - 1)
		// Generated primes start with 11 (in binary) so we can only
		// use a quarter of them.
		pi /= 4

    rewriter.replaceOpWithNewOp<TensorScatterUpdateOp>(
        op, result_type, op.getX(), indices, updates);
    return success();
  }
};

// Approximates lgamma using Lanczos' approximation from
// "A Precision Approximation of the Gamma Function". SIAM Journal on Numerical
// Analysis series B. Vol. 1:

                    }
                    directSuperTypes.print("[direct super types]")
                    approximatedDirectSuperTypes.print("[approximated direct super types]")
                    allSuperTypes.print("[all super types]")
                    approximatedAllSuperTypes.print("[approximated all super types]")
                }
            }
        }
        testServices.assertions.assertEqualsToTestDataFileSibling(actual)
    }

     *
     * @param useSitePosition is used to determine if the given [KaType] needs to be approximated.
     * For instance, if the given type is local yet available in the same scope of use site,
     * we can still use such a local type.
     * Otherwise, e.g., exposed to public as a return type, the resulting type will be approximated accordingly.
     *

        [(IsStrCompositeAttribute<"approximate", "none"> $attrs)]>;

def LegalizeCompositeApproximateAtenGELU : Pat<
        (MHLO_CompositeOp:$composite
          (variadic $inputs),
          ConstantStrAttr<StrAttr, "aten.gelu.default">, $attrs, $_, $_),
        (TFL_GeluOp $inputs, ConstBoolAttrTrue),

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.nativeplatform.fixtures.binaryinfo
/**
 * Binary information for GCC produced binaries. It approximate features required by our tests using dumpbin.exe from Visual Studio. It's not the right solution, but it works for most cases.
 */
class DumpbinGccProducedBinaryInfo extends DumpbinBinaryInfo {