A. Unique TensorFlower <******@****.***> 1705975132 -0800

## 🖼 📁 📊

➡️ 💬 👆 ✔️ 📁 📊 💖 👉:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   ├── dependencies.py
│   └── routers
│   │   ├── __init__.py
│   │   ├── items.py
│   │   └── users.py
│   └── internal
│       ├── __init__.py
│       └── admin.py
```

!!! tip
    📤 📚 `__init__.py` 📁: 1️⃣ 🔠 📁 ⚖️ 📁.

    👉 ⚫️❔ ✔ 🏭 📟 ⚪️➡️ 1️⃣ 📁 🔘 ➕1️⃣.

# it is being invoked.
# CHECK: module
# CHECK-SAME: tf.versions
# CHECK-SAME: bad_consumers
# CHECK-SAME: min_consumer
# CHECK-SAME: producer


class TestModule(tf.Module):

  def __init__(self):
    super(TestModule, self).__init__()
    self.v42 = tf.Variable(42.0)
    self.c43 = tf.constant(43.0)

  # During serialization, the constants are given internal (non-user-accessible, non-semantically-load-bearing) exported names.

Let's say you have a file structure like this:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   ├── dependencies.py
│   └── routers
│   │   ├── __init__.py
│   │   ├── items.py
│   │   └── users.py
│   └── internal
│       ├── __init__.py
│       └── admin.py
```

!!! tip
    There are several `__init__.py` files: one in each directory or subdirectory.

A. Unique TensorFlower <******@****.***> 1705975132 -0800

{!../../../docs_src/dependencies/tutorial011.py!}
```

本例中，**FastAPI**  使用 `__call__` 检查附加参数及子依赖项，稍后，还要调用它向*路径操作函数*传递值。

## 参数化实例

接下来，使用 `__init__` 声明用于**参数化**依赖项的实例参数：

```Python hl_lines="7"
{!../../../docs_src/dependencies/tutorial011.py!}
```

本例中，**FastAPI** 不使用 `__init__`，我们要直接在代码中使用。

## 创建实例

使用以下代码创建类实例：

```Python hl_lines="16"
{!../../../docs_src/dependencies/tutorial011.py!}
```

    group and organize permissions, you could do it as well in your application, just
    know that that it is application specific, it's not part of the specification.
    """

    def __init__(
        self,
        *,
        grant_type: Annotated[
            Union[str, None],
            Form(pattern="password"),
            Doc(
                """

Nehmen wir an, Sie haben eine Dateistruktur wie diese:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   ├── dependencies.py
│   └── routers
│   │   ├── __init__.py
│   │   ├── items.py
│   │   └── users.py
│   └── internal
│       ├── __init__.py
│       └── admin.py
```

!!! tip "Tipp"
    Es gibt mehrere `__init__.py`-Dateien: eine in jedem Verzeichnis oder Unterverzeichnis.

t,find:$t,findAll:It,matches:Mt,closest:Dt,parent:Pt,parents:Bt,children:Ot,escape:Lt,css:Ve,getStyles:Re,getStyle:qe,getCssVar:Ue,propName:Ge,isInView:Pi,scrollTop:Bi,scrollIntoView:Oi,scrolledOver:Hi,scrollParents:Li,getViewport:Fi}),qi.data="__uikit__",qi.prefix="uk-",qi.options={},qi.version="3.3.2",Xi=(Yi=qi).data,Yi.use=function(t){if(!t.installed)return t.call(null,this),t.installed=!0,this},Yi.mixin=function(t,e){(e=(D(e)?Yi.component(e):e)||this).options=Ci(e.options,t)},Yi.extend=funct...

import tensorflow.compat.v2 as tf
from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common


class TestModule(tf.Module):

  def __init__(self):
    super(TestModule, self).__init__()
    # CHECK: "tf_saved_model.global_tensor"() <{is_mutable, {{.*}} type = tensor<*xf32>, value = dense<0.000000e+00> : tensor<1xf32>}> {tf_saved_model.exported_names = ["v0"]} : () -> ()