import com.google.errorprone.annotations.DoNotMock;
import java.util.Collection;
import java.util.Map;
import java.util.Set;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A collection that associates an ordered pair of keys, called a row key and a column key, with a
 * single value. A table may be sparse, with only a small fraction of row key / column key pairs

      }
      return ((SortedMap<C, V>) backingRowMap).lastKey();
    }

    @CheckForNull transient SortedMap<C, V> wholeRow;

    // If the row was previously empty, we check if there's a new row here every time we're queried.
    void updateWholeRowField() {
      if (wholeRow == null || (wholeRow.isEmpty() && backingMap.containsKey(rowKey))) {

👆 🔜 👀 👩‍💻 🔢 💖:

<img src="/img/tutorial/security/image07.png">

✔ 🈸 🎏 🌌 ⏭.

⚙️ 🎓:

🆔: `johndoe`
🔐: `secret`

/// check

👀 👈 🕳 📟 🔢 🔐 "`secret`", 👥 🕴 ✔️ #️⃣ ⏬.

///

<img src="/img/tutorial/security/image08.png">

🤙 🔗 `/users/me/`, 👆 🔜 🤚 📨:

```JSON
{
  "username": "johndoe",

  // context and TF server for multi-client execution.
  virtual absl::Status EnableCollectiveOps(const ServerDef& server_def) = 0;

  // Set a distributed manager that helps set up, update, and check liveness
  // of member tasks in the cluster.
  virtual void SetDistributedManager(
      std::unique_ptr<ImmediateExecutionDistributedManager> distributed) = 0;

                          TFE_OpGetAttrs(read_op.get()),
                          /*expected_max_outputs=*/1, status.get());
  ASSERT_FALSE(TF_GetCode(status.get()) == TF_OK);
  TF_SetStatus(status.get(), TF_OK, "");

  // Check that ops still run successfully on the device.
  parallel_device.Execute(context.get(), std::vector<ParallelTensor*>(),
                          "VarHandleOp", TFE_OpGetAttrs(handle_op.get()),

import com.google.errorprone.annotations.DoNotMock;
import java.util.Collection;
import java.util.Map;
import java.util.Set;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A collection that associates an ordered pair of keys, called a row key and a column key, with a
 * single value. A table may be sparse, with only a small fraction of row key / column key pairs

// ensuring that any non-ASCII character will be reported as not in the set.
// This allocates a total of 32 bytes even though the upper half
// is unused to avoid bounds checks in asciiSet.contains.
type asciiSet [8]uint32

// makeASCIISet creates a set of ASCII characters and reports whether all
// characters in chars are ASCII.
func makeASCIISet(chars string) (as asciiSet, ok bool) {

                responseData.setCharSet(charset);
                responseData.setContentLength(0);
            } else if (file.isFile()) {
                if (logger.isDebugEnabled()) {
                    logger.debug("Checking SmbFile Size: {}", filePath);
                }
                responseData.setContentLength(file.length());
                checkMaxContentLength(responseData);

   * @throws UnsupportedCharsetException if a charset value is present, but no support is available
   *     in this instance of the Java virtual machine
   */
  public Optional<Charset> charset() {
    // racy single-check idiom, this is safe because Optional is immutable.
    Optional<Charset> local = parsedCharset;
    if (local == null) {
      String value = null;
      local = Optional.absent();

// TFE_NewTensorHandleFromDeviceMemory.
void DeallocatorWrapperFunc(void* data, size_t len, void* dlmt_vptr) {
  TFE_CallDLManagedTensorDeleter(dlmt_vptr);
}

// Checks whether the stride array matches the layout of compact, row-majored
// data.
bool IsValidStrideCompactRowMajorData(int64_t* shape_arr, int64_t* stride_arr,
                                      int ndim) {