// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package p3

type ThirdBase struct{}

func (tb *ThirdBase) GoodPlayer() (i, j, k int)

pkg p3, func BadHop(int, int, int) (bool, bool, *ThirdBase, *ThirdBase, error)
pkg p3, method (*ThirdBase) GoodPlayer() (int, int, int)

- [https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html](https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html)
- [https://hadoop.apache.org/docs/r3.1.1/hadoop-aws/tools/hadoop-aws/committers.html](https://hadoop.apache.org/docs/r3.1.1/hadoop-aws/tools/hadoop-aws/committers.html)

Once the config changes are applied, proceed to restart **Hadoop** services.

     * OpenJDK is reported to call MacOS X "Darwin"
     *
     * @see <a href="https://issues.apache.org/bugzilla/show_bug.cgi?id=44889">bugzilla issue</a>
     * @see <a href="https://issues.apache.org/jira/browse/HADOOP-3318">HADOOP-3318</a>
     */
    private static final String DARWIN = "darwin";

    static {
        // Those two public constants are initialized here, as they need all the private constants

// on the given device.
TFE_TensorHandle* TestVariable(TFE_Context* ctx, float value,
                               const tensorflow::string& device_name = "");

// Return an add op multiplying `a` by `b`.
TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);

// Return a matmul op multiplying `a` by `b`.
TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);

// Return an identity op.

buckets, use this feature to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects...

		}

		if loi.NextMarker != "" {
			loi.NextMarker = opts.encodeMarker(loi.NextMarker)
		}
		return loi, nil
	}
	ri := logger.GetReqInfo(ctx)
	hadoop := ri != nil && strings.Contains(ri.UserAgent, "Hadoop ") && strings.Contains(ri.UserAgent, "scala/")
	matches := func() bool {
		if prefix == "" {
			return false
		}
		// List of standard files supported by s3a

			c.Assert(strings.Contains(string(getContent), expectedStr), true)
		}
	}
}

// TestListObjectsV2HadoopUAHandler - Test ListObjectsV2 call with max-keys=2 and Hadoop User-Agent
func (s *TestSuiteCommon) TestListObjectsV2HadoopUAHandler(c *check) {
	// generate a random bucket name.
	bucketName := getRandomBucketName()
	// HTTP request to create the bucket.

  TFE_DeleteOp(op);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  CHECK_EQ(0, num_retvals);

  TF_DeleteStatus(status);

  return var_handle;
}

TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b) {
  TF_Status* status = TF_NewStatus();

  TFE_Op* op = TFE_NewOp(ctx, "AddV2", status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // Store pointer to raw buffer for validation of forwarding behaviour.
  TF_Tensor* orig = TFE_TensorHandleResolve(n, status);
  void* orig_ptr = TF_TensorData(orig);
  TF_DeleteTensor(orig);

  TFE_Op* add_op = AddOp(ctx, n, m);
  std::string cpu_device_name;
  ASSERT_TRUE(GetDeviceName(ctx, &cpu_device_name, "CPU"));
  TFE_OpSetDevice(add_op, cpu_device_name.c_str(), status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);