this.marshaller.setProperty(Marshaller.JAXB_FORMATTED_OUTPUT, Boolean.TRUE); this.marshaller.marshal(this.em, os /* System.err */); JAXB_FORMATTED_OUTPUT 设置指示 JAXB 运行时编组器在写 XML 时使用“适当的”格式和缩进。在紧接着的第二行中,将编组的 XML 写入从该 Filer 获得的输出流中。如该行中...
3. Computer software can be ‘exported' without ever loading it onto a ship, simply by transmitting it over telephone lines from one country to another, so freight rates and cargo-handling schedules become insignificant factors in deciding where to make the product. 参考译文:计算机软件的“出口”...
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it is also called Changduanju (lines of irregular lengths). Due to various tunes used for them, Ci poems can be sung in different ways. Ci poetry reached its peak during the Song Dynasty. Like Tang poetry
Output range 400-800pcs/min, 8 working lines Advanced device Automatic punch t-shirt Delivery time 30-60days Warranty 1 year Technical assistance Oversea Machine commissioning services are available. Detailed Photos Company Profile Silstar machinery founded in ...
// 按文件行顺序进行处理lines.parallel().forEachOrdered(System.out::println); 也可以把Stream<String>转换成List<String>,但是要注意这意味着你要将所有的数据一次性加载到内存,要注意java.lang.OutOfMemoryError // 转换成List<String>, 要注意java.lang.OutOfMemoryError: Java heap spaceList<String>collec...
Like previous NVIDIA products, GeForce 6 Series GPUs are capable of rendering the following objects: Point sprites Aliased and antialiased lines Aliased and antialiased triangles Multisample antialiasing is also supported, allowing accurate antialiased polygon rendering. Multisample anti...
[Any], JSONSerializable] | None' = None, lines: 'bool_t' = False, compression: 'CompressionOptions' = 'infer', index: 'bool_t' = True, indent: 'int | None' = None, storage_options: 'StorageOptions' = None) -> 'str | None' Help on function to_json in module pandas.core....
44.A. roles B. scenes C. clues D. lines 45.A. turned around B. slowed down C. burned out D. looked up 46.A. peace B. panic C. puzzle D. pain 47.A. calm B. noble C. guilty D. crazy 48.A. thought...
(self,x):prefix_tokens=x[:,:self.num_prefix_tokens]x=x[:,self.num_prefix_tokens:]B=x.shape[0]L=x.shape[1]num_keep=max(1,int(L*(1.-self.prob)))keep_indices=torch.argsort(torch.randn(B,L,device=x.device),dim=-1)[:,:num_keep]# The following three lines were modified from...