numHealers = numCores / 4
	} else {
		numHealers = info.NRRequests / 4
	}
	if numHealers < 4 {
		numHealers = 4
	}
	// allow overriding this value as well..
	if v := globalHealConfig.GetWorkers(); v > 0 {
		numHealers = uint64(v)
	}

	healingLogEvent(ctx, "Healing drive '%s' - use %d parallel workers.", tracker.disk.String(), numHealers)

	}

	direntNamePool = sync.Pool{
		New: func() interface{} {
			buf := make([]byte, blockSize)
			return &buf
		},
	}
)

// unexpectedFileMode is a sentinel (and bogus) os.FileMode
// value used to represent a syscall.DT_UNKNOWN Dirent.Type.
const unexpectedFileMode os.FileMode = os.ModeNamedPipe | os.ModeSocket | os.ModeDevice

func parseDirEnt(buf []byte) (consumed int, name []byte, typ os.FileMode, err error) {

	p := participle.MustBuild(
		&Select{},
		participle.Lexer(sqlLexer),
		participle.CaseInsensitive("Keyword"),
	)

	s := Select{}
	cases := []string{
		"select * from s3object where name > 2 or value > 1 or word > 2",
		"select s.word.id + 2 from s3object s",
		"select 1-2-3 from s3object s limit 1",
	}
	for i, tc := range cases {
		err := p.ParseString(tc, &s)
		if err != nil {
			t.Fatalf("%d: %v", i, err)

        "Invalid strides array from DLPack");
    return nullptr;
  }

  TFE_TensorHandle* handle = TFE_NewTensorHandleFromDeviceMemory(
      ctx, device_name.value().c_str(), dtype, dims, num_dims, data,
      total_bytes, &DeallocatorWrapperFunc, dlmt, status);

  return handle;
}

        for (E e : contents) {
          E unused = interner.intern(e);
        }
        return interner;
      }
    };
  }

  public enum Value {
    INSTANCE;
  }

  public enum ListSizeDistribution {
    UNIFORM_0_TO_2(0, 2),
    UNIFORM_0_TO_9(0, 9),
    ALWAYS_0(0, 0),
    ALWAYS_10(10, 10);

    final int min;
    final int max;

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

But because we are using `Annotated`, we can store that `Annotated` value in a variable and use it in multiple places:

{* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}

/// tip

        "TF_FunctionSetAttrValueProto");
    return;
  }

  auto fdef_or = func->record->mutable_fdef();
  if (!fdef_or.ok()) {
    status->status = fdef_or.status();
    return;
  }

  (*(fdef_or.value()->mutable_attr()))[string(attr_name)] = attr_value;

  status->status = absl::OkStatus();
}

void TF_FunctionGetAttrValueProto(TF_Function* func, const char* attr_name,

```Python hl_lines="3  6-8  11-12  23-24  27-28"
{!> ../../docs_src/sql_databases/sql_app/schemas.py!}
```

////

#### SQLAlchemy 风格和 Pydantic 风格

请注意，SQLAlchemy*模型*使用 `=`来定义属性，并将类型作为参数传递给`Column`，例如：

```Python
name = Column(String)
```

虽然 Pydantic*模型*使用`:` 声明类型，但新的类型注释语法/类型提示是：

```Python
name: str
```

请牢记这一点，这样您在使用`:`还是`=`时就不会感到困惑。

### 创建用于读取/返回的Pydantic*模型/模式*

		*/
	}, {
		file: "testdata/trailing-slash.tar",
		tests: []testFnc{
			testHeader{Header{Name: strings.Repeat("123456789/", 30)}, nil},
			testClose{nil},
		},
	}, {
		// Automatically promote zero value of Typeflag depending on the name.
		file: "testdata/file-and-dir.tar",
		tests: []testFnc{
			testHeader{Header{Name: "small.txt", Size: 5}, nil},
			testWrite{"Kilts", 5, nil},
			testHeader{Header{Name: "dir/"}, nil},

   * opening the data stream.
   *
   * <p>The default implementation returns {@link Optional#absent}. Some sources, such as a file,
   * may return a non-absent value. Note that in such cases, it is <i>possible</i> that this method
   * will return a different number of bytes than would be returned by reading all of the bytes (for