I am not sure if you have an old version of IntelliJ IDEA, but if I go to menu File → Settings… → Inspections → Serialization issues → Serializable class without ‘serialVersionUID’` enabled, the class you provide give me warnings. If I try the first class I see: BTW: It didn’t show me a warning … Read more
Prepare the byte array to send: ByteArrayOutputStream bos = new ByteArrayOutputStream(); ObjectOutputStream out = null; try { out = new ObjectOutputStream(bos); out.writeObject(yourObject); out.flush(); byte[] yourBytes = bos.toByteArray(); … } finally { try { bos.close(); } catch (IOException ex) { // ignore close exception } } Create an object from a byte array: ByteArrayInputStream bis = … Read more
According to this post, it’s much better now: // pick out one album JObject jalbum = albums[0] as JObject; // Copy to a static Album instance Album album = jalbum.ToObject<Album>(); Documentation: Convert JSON to a Type
Found this page on their github repo: Recommended approach for saving a model There are two main approaches for serializing and restoring a model. The first (recommended) saves and loads only the model parameters: torch.save(the_model.state_dict(), PATH) Then later: the_model = TheModelClass(*args, **kwargs) the_model.load_state_dict(torch.load(PATH)) The second saves and loads the entire model: torch.save(the_model, PATH) Then later: … Read more
You could use the pickle module in the standard library. Here’s an elementary application of it to your example: import pickle class Company(object): def __init__(self, name, value): self.name = name self.value = value with open(‘company_data.pkl’, ‘wb’) as outp: company1 = Company(‘banana’, 40) pickle.dump(company1, outp, pickle.HIGHEST_PROTOCOL) company2 = Company(‘spam’, 42) pickle.dump(company2, outp, pickle.HIGHEST_PROTOCOL) del company1 del … Read more
Use a StringWriter instead of a StreamWriter: public static string SerializeObject<T>(this T toSerialize) { XmlSerializer xmlSerializer = new XmlSerializer(toSerialize.GetType()); using(StringWriter textWriter = new StringWriter()) { xmlSerializer.Serialize(textWriter, toSerialize); return textWriter.ToString(); } } Note, it is important to use toSerialize.GetType() instead of typeof(T) in XmlSerializer constructor: if you use the first one the code covers all possible … Read more
What is it? When you create an object in a .Net framework application, you don’t need to think about how the data is stored in memory. Because the .Net Framework takes care of that for you. However, if you want to store the contents of an object to a file, send an object to another … Read more
Look at the inner exception that you are getting. It will tell you which field/property it is having trouble serializing. You can exclude fields/properties from xml serialization by decorating them with the [XmlIgnore] attribute. XmlSerializer does not use the [Serializable] attribute, so I doubt that is the problem.
The json module is a good solution here. It has the advantages over pickle that it only produces plain text output, and is cross-platform and cross-version. import json json.dumps(dict)
Update 2016 – five years on there are now new methods in the specs (see support below) to convert between strings and typed arrays using proper encoding. TextEncoder The TextEncoder represents: The TextEncoder interface represents an encoder for a specific method, that is a specific character encoding, like utf-8, iso-8859-2, koi8, cp1261, gbk, … An … Read more