vocabulary file.
*   Added `index_to_string_table` which returns a lookup table that maps indices
    to strings.
*   Add `string_to_index_table`, which returns a lookup table that matches
    strings to indices.
*   Add a `ParallelForWithWorkerId` function.
*   Add `string_to_index_table`, which returns a lookup table that matches
    strings to indices.

# configure script unconditionally); otherwise if it is false or undefined, the
# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(

- The kubelet now creates an iptables chain named `KUBE-IPTABLES-HINT` in
  the `mangle` table. Containerized components that need to modify iptables
  rules in the host network namespace can use the existence of this chain
  to more-reliably determine whether the system is using iptables-legacy or

## Create the tables

In this case, we are creating the tables in the same Python file, but in production, you would probably want to create them with Alembic, integrated with migrations, etc.

Here, this section would run directly, right before starting your **FastAPI** application.

* Create an `engine`.
* Create all the tables from the `metadata` object.

```Python hl_lines="25-28"

    assertEquals(1, binarySearch(0, 6) { index -> 3.compareTo(table[index]) })
    assertEquals(2, binarySearch(0, 6) { index -> 5.compareTo(table[index]) })
    assertEquals(3, binarySearch(0, 6) { index -> 7.compareTo(table[index]) })
    assertEquals(4, binarySearch(0, 6) { index -> 9.compareTo(table[index]) })
    assertEquals(5, binarySearch(0, 6) { index -> 11.compareTo(table[index]) })

An ORM has tools to convert ("*map*") between *objects* in code and database tables ("*relations*").

With an ORM, you normally create a class that represents a table in a SQL database, each attribute of the class represents a column, with a name and a type.

For example a class `Pet` could represent a SQL table `pets`.

And each *instance* object of that class represents a row in the database.

  /** Flag values. */
  private val values = IntArray(COUNT)

  /** Returns -1 if unset. */
  val headerTableSize: Int
    get() {
      val bit = 1 shl HEADER_TABLE_SIZE
      return if (bit and set != 0) values[HEADER_TABLE_SIZE] else -1
    }

  val initialWindowSize: Int
    get() {
      val bit = 1 shl INITIAL_WINDOW_SIZE

| `license_info` | `dict` | 公开的 API 的许可证信息。它可以包含多个字段...

| `license_info` | `dict` | The license information for the exposed API. It can contain several fields. <details><summary><code>license_info</code> fields</summary><table><thead><tr><th>Parameter</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>REQUIRED</strong>...

  const val FLAG_COMPRESSED = 0x20 // Used for data.

  /** Lookup table for valid frame types. */
  private val FRAME_NAMES =
    arrayOf(
      "DATA", "HEADERS", "PRIORITY", "RST_STREAM", "SETTINGS", "PUSH_PROMISE", "PING", "GOAWAY",
      "WINDOW_UPDATE", "CONTINUATION",
    )

  /**
   * Lookup table for valid flags for DATA, HEADERS, CONTINUATION. Invalid combinations are
   * represented in binary.