* limitations under the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Funnels.byteArrayFunnel;
import static com.google.common.hash.Hashing.murmur3_32;
import static com.google.common.hash.Hashing.murmur3_32_fixed;
import static java.nio.charset.StandardCharsets.UTF_16;
import static java.nio.charset.StandardCharsets.UTF_16LE;
import static java.nio.charset.StandardCharsets.UTF_8;

    /**
     * Constructs a GeoInfo instance by parsing geographic parameters from the HTTP request.
     * Extracts geo.{field}.point and geo.{field}.distance parameters to create
     * geo-distance queries for each configured geographic field.
     *
     * @param request the HTTP servlet request containing geographic parameters
     * @throws InvalidQueryException if geo point format is invalid or parsing fails
     */

  }

  /**
   * Returns a string containing the result of {@link Throwable#toString() toString()}, followed by
   * the full, recursive stack trace of {@code throwable}. Note that you probably should not be
   * parsing the resulting string; if you need programmatic access to the stack frames, you can call
   * {@link Throwable#getStackTrace()}.
   */
  @GwtIncompatible // java.io.PrintWriter, java.io.StringWriter

                ],
                "msg": "Field required",
                "type": "missing",
            },
            {
                "input": None,
                "loc": [
                    "body",
                    "user",
                ],
                "msg": "Field required",
                "type": "missing",
            },
            {
                "input": None,
                "loc": [

    client = TestClient(app)
    response = client.get(path)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["cookie", "p"],
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }
        ]
    }


@pytest.mark.parametrize(
    "path",

    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "p"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    [

     */
    public static final int ETYPE_AES256_CTS_HMAC_SHA1_96 = 18;

    private int type;
    private byte[] checksum;

    /**
     * Constructs a PacSignature by parsing the provided data.
     *
     * @param data the raw signature data to parse
     * @throws PACDecodingException if the data is malformed or cannot be parsed
     */

    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "p"],
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }
        ]
    }


@pytest.mark.parametrize(
    "path",

先把那些資料放進 Pydantic 的 `UserInDB` 模型。

你絕對不要以純文字儲存密碼，所以我們會使用（假的）密碼雜湊系統。

如果密碼不匹配，我們回傳同樣的錯誤。

#### 密碼雜湊（hashing） { #password-hashing }

「雜湊」的意思是：把一些內容（這裡是密碼）轉換成一串看起來像亂碼的位元組序列（就是字串）。

只要你輸入完全相同的內容（完全相同的密碼），就會得到完全相同的亂碼。

但你無法從這串亂碼還原回原本的密碼。

##### 為何要做密碼雜湊 { #why-use-password-hashing }

如果你的資料庫被竊取，攻擊者拿到的不是使用者的純文字密碼，而只是雜湊值。

因此攻擊者無法嘗試把那些密碼用在其他系統上（因為很多使用者在各處都用同一組密碼，這會很危險）。

    client = TestClient(app)
    response = client.post(path, json=json)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": IsOneOf(["body", "p"], ["body"]),
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }
        ]
    }


@pytest.mark.parametrize(