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learning model using Sklearn, FastAPI and Docker" - author: Yashasvi Singh author_link: https://hashnode.com/@aUnicornDev link: https://aunicorndev.hashnode.dev/series/supafast-api title: "Building an API with FastAPI and Supabase and Deploying on Deta" - author: Navule Pavan Kumar Rao author_link: https://www.linkedin.com/in/navule/ link: https://www.tutlinks.com/deploy-fastapi-on-ubuntu-gunicorn-caddy-2/ title: Deploy FastAPI on Ubuntu and Serve using Caddy 2 Web Server - author: Patrick Ladon...

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  public void testCharactersOfIsView() {
    StringBuilder builder = new StringBuilder("abc");
    List<Character> chars = charactersOf(builder);
    assertEquals(asList('a', 'b', 'c'), chars);
    builder.append("def");
    assertEquals(asList('a', 'b', 'c', 'd', 'e', 'f'), chars);
    builder.deleteCharAt(5);
    assertEquals(asList('a', 'b', 'c', 'd', 'e'), chars);
  }

  public void testNewArrayListEmpty() {

```Python
response = requests.get("http://example.com/some/url")
```

Die entsprechende *Pfadoperation* der FastAPI-API könnte wie folgt aussehen:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

Sehen Sie sich die Ähnlichkeiten in `requests.get(...)` und `@app.get(...)` an.

/// check | Inspirierte **FastAPI**

    assertFailsWith<IOException> {
      sink2.writeUtf8("abc")
      sink2.flush()
    }.also { expected ->
      assertThat(expected.message).isEqualTo("stream was reset: REFUSED_STREAM")
    }
    sink1.writeUtf8("def")
    sink1.close()
    assertFailsWith<ConnectionShutdownException> {
      connection.newStream(headerEntries("c", "cola"), true)
    }
    assertThat(stream1.isOpen).isTrue()

* `main.py` ファイルを作成します：

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

同じプロジェクト・ディレクトリに`Dockerfile`というファイルを作成します：

      feed3, control_inputs, TF_OperationNumControlInputs(feed3));
  ASSERT_EQ(2, num_control_inputs);
  EXPECT_EQ(feed, control_inputs[0]);
  EXPECT_EQ(feed2, control_inputs[1]);

  // Export to a graph def so we can import a graph with control dependencies
  TF_DeleteBuffer(graph_def);
  graph_def = TF_NewBuffer();
  TF_GraphToGraphDef(graph, graph_def, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

pkg go/types, type Func struct
pkg go/types, type Importer interface { Import }
pkg go/types, type Importer interface, Import(string) (*Package, error)
pkg go/types, type Info struct
pkg go/types, type Info struct, Defs map[*ast.Ident]Object
pkg go/types, type Info struct, Implicits map[ast.Node]Object
pkg go/types, type Info struct, InitOrder []*Initializer
pkg go/types, type Info struct, Scopes map[ast.Node]*Scope

*   `tf.saved_model.SaveOptions`

    * `SaveOptions` now takes a new argument called
      `experimental_debug_stripper`. When enabled, this strips the debug nodes
      from both the node defs and the function defs of the graph. Note that
      this currently only strips the `Assert` nodes from the graph and
      converts them into `NoOp`s instead.

*   `tf.data`