在 SQLModel 中，任何設了 `table=True` 的模型類別都是「資料表模型」。

而沒有設 `table=True` 的模型類別就是「資料模型」，這些其實就是 Pydantic 模型（只有一點小增強）。🤓

使用 SQLModel，我們可以利用「繼承」來「避免重複」在各種情況下一再宣告所有欄位。

#### `HeroBase` - 基底類別 { #herobase-the-base-class }

先從 `HeroBase` 模型開始，它包含所有模型「共享」的欄位：

* `name`
* `age`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:9] hl[7:9] *}

#### `Hero` - 資料表模型 { #hero-the-table-model }

    /*
     * Segments maintain a table of entry lists that are ALWAYS kept in a consistent state, so can
     * be read without locking. Next fields of nodes are immutable (final). All list additions are
     * performed at the front of each bin. This makes it easy to check changes, and also fast to
     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This

 - Scheduling failures due to no nodes available are now reported as unschedulable under ```schedule_attempts_total``` metric. ([#90989](https://github.com/kubernetes/kubernetes/pull/90989), [@ahg-g](https://github.com/ahg-g)) [SIG Scheduling]

### Other (Cleanup or Flake)
 - base-images: Use debian-base:v2.1.0 (update to Debian Buster, includes CVE fixes)

//      output tensor naming, but it the index is actually an input index)
struct EdgeSpec : public std::pair<std::string, std::string> {
  typedef std::pair<std::string, std::string> Base;

  // Inherit the set of constructors
  using Base::pair;

  std::string ToString() const { return absl::StrCat(first, "->", second); }
};

class CApiFunctionTest : public ::testing::Test {
 protected:
  CApiFunctionTest()

///

### Flask REST frameworks { #flask-rest-frameworks }

There are several Flask REST frameworks, but after investing the time and work into investigating them, I found that many are discontinued or abandoned, with several standing issues that made them unfit.

### [Marshmallow](https://marshmallow.readthedocs.io/en/stable/) { #marshmallow }

import static java.lang.Double.NaN;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Converter;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.testing.Helpers;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;

import static java.lang.Long.MIN_VALUE;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Converter;
import com.google.common.collect.testing.Helpers;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;
import java.math.BigInteger;
import java.util.Arrays;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Converter;
import com.google.common.collect.testing.Helpers;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;
import java.util.Arrays;
import java.util.Collection;

   * @throws IllegalArgumentException if duplicate keys or values are added
   */
  public static <K, V> ImmutableBiMap<K, V> of(K k1, V v1, K k2, V v2) {
    return RegularImmutableBiMap.fromEntries(entryOf(k1, v1), entryOf(k2, v2));
  }

  /**
   * Returns an immutable map containing the given entries, in order.
   *
   * @throws IllegalArgumentException if duplicate keys or values are added
   */

在 **SQLModel** 中，任何含有 `table=True` 属性的模型类都是一个**表模型**。

任何不含有 `table=True` 属性的模型类都是**数据模型**，这些实际上只是 Pydantic 模型（附带一些小的额外功能）。🤓

有了 SQLModel，我们就可以利用**继承**来在所有情况下**避免重复**所有字段。

#### `HeroBase` - 基类 { #herobase-the-base-class }

我们从一个 `HeroBase` 模型开始，该模型具有所有模型**共享的字段**：

* `name`
* `age`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:9] hl[7:9] *}

#### `Hero` - *表模型* { #hero-the-table-model }