TF_DeleteTensor(tensor);
  TFE_DeleteTensorHandle(tensor_handle);

  std::vector<int64_t> values(4, 1);
  TFE_OpSetAttrIntList(op, "ksize", values.data(), values.size());
  TFE_OpSetAttrIntList(op, "strides", values.data(), values.size());

  const int BUFFER_SIZE = 10;
  char buffer[BUFFER_SIZE];
  std::strncpy(buffer, "VALID", BUFFER_SIZE);

        final int qSize = queue.size();
        int endOffset = startOffset + 1;
        int posInc = 1;
        for (int len = 1; len < n && endOffset <= limitOffset; len++) {
            queue.add(new MyToken(block.substring(startOffset, endOffset), startOffset, endOffset, posInc));
            endOffset++;
            posInc = 0;
        }
        return queue.size() > qSize;
    }

    @Override

		if text == nil {
			t.Errorf("%s: instruction outside TEXT", p)
		}
		size := int64(len(text.P)) - p.Pc
		if p.Link != nil {
			size = p.Link.Pc - p.Pc
		} else if p.Isize != 0 {
			size = int64(p.Isize)
		}
		var code []byte
		if p.Pc < int64(len(text.P)) {
			code = text.P[p.Pc:]
			if size < int64(len(code)) {
				code = code[:size]
			}
		}
		codeHex := fmt.Sprintf("%x", code)
		if codeHex == "" {

	for obj := range objCh {
		if obj.Err != nil {
			log.Fatalf("Listing error: %v", obj.Err)
		}
		fmt.Printf("Key: %s\nSize: %d\nLast Modified: %s\n===\n", obj.Key, obj.Size, obj.LastModified)
	}

{{ $subPath := .Values.persistence.subPath }}
{{ $penabled := .Values.persistence.enabled }}
{{ $accessMode := .Values.persistence.accessMode }}
{{ $storageClass := .Values.persistence.storageClass }}
{{ $psize := .Values.persistence.size }}
apiVersion: v1
kind: Service
metadata:
  name: {{ template "minio.fullname" . }}-svc
  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}

	for obj := range objCh {
		if obj.Err != nil {
			log.Fatalf("Listing error: %v", obj.Err)
		}
		fmt.Printf("Key: %s\nSize: %d\nLast Modified: %s\n===\n", obj.Key, obj.Size, obj.LastModified)
	}

            try {
                w.start();
                // use commonly acceptable buffer size
                int bsize = Math.min(sh.getReceiveBufferSize() - 70, dh.getSendBufferSize() - 70);
                byte[][] b = new byte[2][bsize];
                copyRecursive(dest, b, bsize, w, sh, dh);
            }
            finally {
                w.write(null, -1, null);

            t2.snd_buf_size = t1.snd_buf_size;
        } else {
            t1.snd_buf_size = t2.snd_buf_size;
        }

        bsize = Math.min( t1.rcv_buf_size - 70, t1.snd_buf_size - 70 );
        b = new byte[2][bsize];

        try {
            copyTo0( dest, b, bsize, w, req, resp );
        } finally {
            w.write( null, -1, null, 0 );
        }
    }

/**

            throw new IllegalArgumentException(
                    "progressed file size cannot be greater than size: " + progressedSize + " > " + size);
        }

        if (size >= 0L && progressedSize != size) {
            ScaleUnit unit = ScaleUnit.getScaleUnit(size);
            format(builder, progressedSize, unit, true);
            builder.append("/");
            format(builder, size, unit, false);

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);
    tf_results->missing_unused_key_names[i] =