TF_Operation* const1 = FloatConst2x2(graph_, s_, const1_val, "Const_1");
    TF_Operation* matmul = MatMul(graph_, s_, const0, const1, "MatMul");
    inputs[0] = TF_Output{const0, 0};
    inputs[1] = TF_Output{const1, 0};
    outputs[0] = TF_Output{matmul, 0};
    EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  }

  void BuildExpectedGraph(bool grad_inputs_provided,

					tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal
					cpuUserVal := math.Round(ts.User/tot*100*100) / 100
					updateResourceMetrics(cpuSubsystem, cpuUser, cpuUserVal, labels, false)
					cpuSystemVal := math.Round(ts.System/tot*100*100) / 100
					updateResourceMetrics(cpuSubsystem, cpuSystem, cpuSystemVal, labels, false)
					cpuIdleVal := math.Round(ts.Idle/tot*100*100) / 100

    ],
    deps = [
        "//tensorflow/c/eager:abstract_context",
        "//tensorflow/c/eager:gradients_internal",
    ],
)

cc_library(
    name = "math_grad",
    srcs = ["math_grad.cc"],
    hdrs = [
        "math_grad.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_tensor_handle",

        });
    });

    summaries.forEach(summary => {
        summary.additionPercent = Math.round(summary.additions / (totalAdditions + totalDeletions) * 100, 2);
        summary.deletionPercent = Math.round(summary.deletions / (totalAdditions + totalDeletions) * 100, 2);
        summary.filesPercent = Math.round(summary.files.length / totalChangedFiles * 100, 2);
    });

    console.log("computeStatistics: ");

   */
  @VisibleForTesting
  static int optimalNumOfHashFunctions(long n, long m) {
    // (m / n) * log(2), but avoid truncation due to division!
    return Math.max(1, (int) Math.round((double) m / n * Math.log(2)));
  }

  /**
   * Computes m (total bits of Bloom filter) which is expected to achieve, for the specified
   * expected insertions, the required false positive probability.
   *

    *   New endpoints in tf.math namespace: `tf.math.acos`, `tf.math.acosh`,
        `tf.math.add`, `tf.math.asin`, `tf.math.asinh`, `tf.math.atan`,
        `tf.math.atan2`, `tf.math.atanh`, `tf.math.betainc`, `tf.math.ceil`,
        `tf.math.cos`, `tf.math.cosh`, `tf.math.digamma`, `tf.math.equal`,
        `tf.math.erfc`, `tf.math.exp`, `tf.math.expm1`, `tf.math.floor`,
        `tf.math.greater`, `tf.math.greater_equal`, `tf.math.igamma`,

// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"errors"
	"fmt"
	"io"
	"math"
	"net/url"
	"strings"

	"github.com/minio/madmin-go/v3"
	minio "github.com/minio/minio-go/v7"
	"github.com/minio/minio-go/v7/pkg/credentials"
)

type warmBackendMinIO struct {
	warmBackendS3
}

import com.google.common.base.Objects;
import com.google.common.base.Predicate;
import com.google.common.base.Predicates;
import com.google.common.collect.Multiset.Entry;
import com.google.common.math.IntMath;
import com.google.common.primitives.Ints;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import com.google.errorprone.annotations.concurrent.LazyInit;
import java.io.Serializable;

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"math"
	"net/http"
	"os"
	"runtime"
	"runtime/debug"
	"sort"
	"strings"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/config"
	"github.com/minio/minio/internal/kms"
)

	}

	// Pass in relative days from current time, to additionally
	// to verify "object-lock-remaining-retention-days" policy if any.
	days := int(math.Ceil(math.Abs(objRetention.RetainUntilDate.Sub(t).Hours()) / 24))

	ret := objectlock.GetObjectRetentionMeta(oi.UserDefined)
	if ret.Mode.Valid() {
		// Retention has expired you may change whatever you like.