timeout := newDynamicTimeout(time.Minute, time.Second)

	rand.Seed(0)

	initial := timeout.Timeout()

	for range 10 {
		testDynamicTimeoutAdjust(t, timeout, func() float64 {
			return 1.0 + rand.NormFloat64()
		})
	}

	adjusted := timeout.Timeout()
	if initial <= adjusted {
		t.Errorf("Failure to decrease timeout, expected %v to be less than %v", adjusted, initial)
	}

This directory contains documentation that describes Gradle's architecture and how the various pieces fit together and work.

## Architecture decision records (ADRs)

The Gradle team uses ADRs to record architectural decisions that the team has made.

See [Architecture decisions records](standards) for the list of ADRs.

                + String.valueOf((char) 0x0009) // tab
                + String.valueOf((char) 0x000A) // line feed
                + String.valueOf((char) 0x000D) // carriage return
                + String.valueOf((char) 0xD7FF) + String.valueOf((char) 0xE000) + String.valueOf((char) 0xFFFD);
        String result = XmlUtil.stripInvalidXMLCharacters(input);
        assertNotNull(result);
    }

Further, the temp. S3 credentials will never out-live the client certificate. For example, if the `MINIO_IDENTITY_TLS_STS_EXPIRY` is 7 days but the certificate itself is only valid for the next 3 days, then MinIO will return S3 credentials that are valid for 3 days only.

## Caveat

_site_packages_dirs = list(set(_site_packages_dirs))

# Find the location of this exact file.
_current_file_location = _inspect.getfile(_inspect.currentframe())

def _running_from_pip_package():
  return any(
      _current_file_location.startswith(dir_) for dir_ in _site_packages_dirs)

if _running_from_pip_package():
  # TODO(gunan): Add sanity checks to loaded modules here.

  # Load first party dynamic kernels.

  std::vector<tensorflow::string> missing_unused_key_names_data;
};

struct TF_DeviceList {
  std::vector<tensorflow::DeviceAttributes> response;
};

struct TF_Function {
  tensorflow::FunctionRecord* record;
};

struct TF_ApiDefMap {
  explicit TF_ApiDefMap(const tensorflow::OpList& op_list)
      :
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),

        Field f = target.getClass().getDeclaredField(name);
        f.setAccessible(true);
        f.set(target, value);
    }

    static ASN1ObjectIdentifier[] supportedMechs() {
        return Kerb5Context.SUPPORTED_MECHS;
    }

    @ParameterizedTest
    @MethodSource("supportedMechs")
    @DisplayName("isSupported returns true for supported OIDs")

async def read_results():
    results = await some_library()
    return results
```

/// note | 注意

你只能在 `async def` 建立的函式內使用 `await`。

///

---

如果你使用的是第三方函式庫並且它需要與某些外部資源（例如資料庫、API、檔案系統等）進行通訊，但不支援 `await`（目前大多數資料庫函式庫都是這樣），在這種情況下，你可以像平常一樣使用 `def` 宣告*路徑操作函式*，如下所示：

```Python hl_lines="2"
@app.get('/')
def results():
    results = some_library()
    return results
```

---

async def read_results():
    results = await some_library()
    return results
```

/// note

你只能在被 `async def` 创建的函数内使用 `await`

///

---

如果你正在使用一个第三方库和某些组件（比如：数据库、API、文件系统...）进行通信，第三方库又不支持使用 `await` （目前大多数数据库三方库都是这样），这种情况你可以像平常那样使用 `def` 声明一个路径操作函数，就像这样：

```Python hl_lines="2"
@app.get('/')
def results():
    results = some_library()
    return results
```

---

there is an <i>n</i> such that the <i>n</i>th call to <code>l.Unlock</code>
is synchronized before the return from <code>l.RLock</code>,
and the matching call to <code>l.RUnlock</code> is synchronized before the return from call <i>n</i>+1 to <code>l.Lock</code>.
</p>

<p class="rule">
A successful call to <code>l.TryLock</code> (or <code>l.TryRLock</code>)