serialization

问题 I try to create a JSON file out of my custom Object with the JSONModel framework for iOS. I get the Error: -[JSONModel.m:1077] EXCEPTION: Invalid type in JSON write (RegisterBuyerDataOption) -[JSONModel.m:1077] EXCEPTION: Invalid type in JSON write (RegisterBuyerDataOption) -[JSONModel.m:1077] EXCEPTION: Invalid type in JSON write (RegisterBuyerData) registerBuyerData.h @interface RegisterBuyerData : JSONModel @property (nonatomic, strong) NSString *buyerDataID; @property (nonatomic )

问题 I try to create a JSON file out of my custom Object with the JSONModel framework for iOS. I get the Error: -[JSONModel.m:1077] EXCEPTION: Invalid type in JSON write (RegisterBuyerDataOption) -[JSONModel.m:1077] EXCEPTION: Invalid type in JSON write (RegisterBuyerDataOption) -[JSONModel.m:1077] EXCEPTION: Invalid type in JSON write (RegisterBuyerData) registerBuyerData.h @interface RegisterBuyerData : JSONModel @property (nonatomic, strong) NSString *buyerDataID; @property (nonatomic )

问题 I have a series of Moose objects that I'm looking to feed to JSON::XS by way of Catalyst::View::JSON. JSON::XS is unable to encode blessed data-structures. I know that there is MooseX::Storage::Format::JSON which can -- kinda -- do what I want; but, it seems pretty overly heavy. What I'm looking for is essentially the same information that XXX.pm provides. I just want the raw-data structures recursively unblessed so JSON::XS (the driver for JSON::Any that C:V:JSON uses internally) can display

问题 So recently I was working on an a tool for us here to configure certain applications. It didn't need to be anything really awesome, just a basic tool with some SQL script generation, and creating a couple of XML files. During this I created a series of JTable objects with my own implementation of the AbstractTableModel. After I had built everything, and got to the point where I was testing saving and loading using the AbstractTableModel (just written to disk using the ObjectStreamWriter)

问题 So recently I was working on an a tool for us here to configure certain applications. It didn't need to be anything really awesome, just a basic tool with some SQL script generation, and creating a couple of XML files. During this I created a series of JTable objects with my own implementation of the AbstractTableModel. After I had built everything, and got to the point where I was testing saving and loading using the AbstractTableModel (just written to disk using the ObjectStreamWriter)

问题 I have a class name string representation val cls = Class.forName("clsName") def fromJson[T: Manifest](me: String): T = { Extraction.extract[T](net.liftweb.json.parse(me)) } I would like to use it as T:manifest i.e JsonConverter.fromJson[cls.type](stringData) this returns an error tried also val t = Manifest.classType(cls) JsonConverter.fromJson[t](stringData) // compile error what is the best way to it ? is there a way to avoid using reflection ? 回答1: You could try something like this: val

问题 I am working on a script where it will breakdown another python script into blocks and using pycrypto to encrypt the blocks (all of this i have successfully done so far), now i am storing the encrypted blocks to a file so that the decrypter can read it and execute each block. The final result of the encryption is a list of binary outputs (something like blocks=[b'\xa1\r\xa594\x92z\xf8\x16\xaa',b'xfbI\xfdqx|\xcd\xdb\x1b\xb3',etc...] ). When writing the output to a file, they all end up into

问题 I am trying to understand how Apache Spark works behind the scenes. After coding a little in Spark I am pretty quite sure that it implements the RDD as RMI Remote objects , doesn't it? In this way, it can modify them inside transformation, such as map s, flatMap s, and so on. Object that are not part of an RDD are simply serialized and sent to a worker during execution. In the example below, lines and tokens will be treated as remote objects , while the string toFind will be simply serialized

问题 I am trying to understand how Apache Spark works behind the scenes. After coding a little in Spark I am pretty quite sure that it implements the RDD as RMI Remote objects , doesn't it? In this way, it can modify them inside transformation, such as map s, flatMap s, and so on. Object that are not part of an RDD are simply serialized and sent to a worker during execution. In the example below, lines and tokens will be treated as remote objects , while the string toFind will be simply serialized

问题 How to serialize & deserialize below xml file using C#. I have created serializable class for this xml. below some code to deserialize this xml, the list is able to get only single value. <?xml version="1.0" encoding="utf-8" ?> <Configuration> <CSVFile> <string>ff</string> <string>gg</string> <string>jj</string> </CSVFile> </Configuration> [Serializable, XmlRoot("Configuration"), XmlType("Configuration")] public class Configuration { public Configuration() { CSVFile = new List<string>(); }