return envKV{
			Skip: true,
		}, nil
	}
	if strings.HasPrefix(envEntry, "#") {
		// Skip commented lines
		return envKV{
			Skip: true,
		}, nil
	}
	envTokens := strings.SplitN(strings.TrimSpace(strings.TrimPrefix(envEntry, "export")), config.EnvSeparator, 2)
	if len(envTokens) != 2 {
		return envKV{}, fmt.Errorf("envEntry malformed; %s, expected to be of form 'KEY=value'", envEntry)
	}

					ip = haddrs[0]
				}
			}
		}
		ifs, _ := net.Interfaces()
		for _, interf := range ifs {
			addrs, err := interf.Addrs()
			if err == nil {
				for _, addr := range addrs {
					if strings.SplitN(addr.String(), "/", 2)[0] == ip {
						globalInternodeInterface = interf.Name
					}
				}
			}
		}
	})
}

// Return the list of address that MinIO server needs to listen on:

			if b64, err := base64.RawURLEncoding.DecodeString(uploadIDDir); err == nil {
				if split := strings.Split(string(b64), "x"); len(split) == 2 {
					t, err := strconv.ParseInt(split[1], 10, 64)
					if err == nil {
						modTime = time.Unix(0, t)
					}
				}
			}
			// Fallback for older uploads without time in the ID.

	encodedResource := req.URL.RawPath
	encodedQuery := req.URL.RawQuery
	if encodedResource == "" {
		splits := strings.SplitN(req.URL.Path, "?", 2)
		encodedResource = splits[0]
		if len(splits) == 2 {
			encodedQuery = splits[1]
		}
	}

	unescapedQueries, err := unescapeQueries(encodedQuery)
	if err != nil {
		return err
	}

		return rd
	}

	// if already replicated, return true if a new reset was requested.
	splits := strings.SplitN(rs, ";", 2)
	if len(splits) != 2 {
		return rd
	}
	newReset := splits[1] != resetID
	if !newReset && tgtStatus == replication.Completed {
		// already replicated and no reset requested
		return rd
	}

      Spliterator<? extends T> splitr = stream.spliterator();
      splitrsBuilder.add(splitr);
      characteristics &= splitr.characteristics();
      estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
    }
    return StreamSupport.stream(
            CollectSpliterators.flatMap(
                splitrsBuilder.build().spliterator(),
                splitr -> (Spliterator<T>) splitr,

      Spliterator<? extends T> splitr = stream.spliterator();
      splitrsBuilder.add(splitr);
      characteristics &= splitr.characteristics();
      estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
    }
    return StreamSupport.stream(
            CollectSpliterators.flatMap(
                splitrsBuilder.build().spliterator(),
                splitr -> (Spliterator<T>) splitr,

   *                    v
   */
  // Define
  TF_Operation* feed = Placeholder(func_graph_, s_);
  TF_Operation* split = Split3(feed, func_graph_, s_);
  TF_Operation* add = Add({split, 0}, {split, 2}, func_graph_, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  DefineT(1, {add}, {{split, 0}, {split, 2}}, {{add, 0}}, {});

  // Use, run, and verify
  TF_Operation* two = ScalarConst(2, host_graph_, s_, "two");

TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                            TF_Graph* graph, TF_Status* s);

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);

bool IsScalarConst(const tensorflow::NodeDef& node_def, int v);

    val csvLines = scenarios.map { "${it.className};${it.scenario}" }
    val action = "include"
    val fileNamePostfix = "$testProject-performance-scenarios.csv"
    val performanceTestSplitDirectoryName = "performance-test-splits"
    val unixScript = """
mkdir -p $performanceTestSplitDirectoryName
rm -rf $performanceTestSplitDirectoryName/*-$fileNamePostfix
cat > $performanceTestSplitDirectoryName/$action-$fileNamePostfix << EOL