serialization

来源： https://stackoverflow.com/questions/36351555/transient-variable-inherited-and-subclass-is-serialized

问题 I'm using Python 2.7 and NumPy 1.11.2, as well as the latest versions of dill ( I just did the pip install dill ) , on Ubuntu 16.04. When storing a NumPy array using pickle, I find that pickle is very slow, and stores arrays at almost three times the 'necessary' size. For example, in the following code, pickle is approximately 50 times slower (1s versus 50s), and creates a file that is 2.2GB instead of 800MB. import numpy import pickle import dill B=numpy.random.rand(10000,10000) with open(

问题 I've a DTO for my Photo and Tag object that looks like this: export class PhotoDto { readonly title: string readonly file: string readonly tags: TagDto[] } export class TagDto { readonly name: string } I use the PhotoDto in my photo.service.ts and eventually in the photo.controller.ts for the creation of Photo: // In photo.service.ts async create(createPhotoDto: PhotoDto): Promise<PhotoEntity> { // ... return await this.photoRepo.create(createPhotoDto) } // In photo.controller.ts @Post()

问题 I've a DTO for my Photo and Tag object that looks like this: export class PhotoDto { readonly title: string readonly file: string readonly tags: TagDto[] } export class TagDto { readonly name: string } I use the PhotoDto in my photo.service.ts and eventually in the photo.controller.ts for the creation of Photo: // In photo.service.ts async create(createPhotoDto: PhotoDto): Promise<PhotoEntity> { // ... return await this.photoRepo.create(createPhotoDto) } // In photo.controller.ts @Post()

问题 I've a DTO for my Photo and Tag object that looks like this: export class PhotoDto { readonly title: string readonly file: string readonly tags: TagDto[] } export class TagDto { readonly name: string } I use the PhotoDto in my photo.service.ts and eventually in the photo.controller.ts for the creation of Photo: // In photo.service.ts async create(createPhotoDto: PhotoDto): Promise<PhotoEntity> { // ... return await this.photoRepo.create(createPhotoDto) } // In photo.controller.ts @Post()

问题 How to convert Object to List (array bytes) I have instance (some object) from class MyClass and I want to get bytes from this object. How implement this? Code: class MyClass {} var myClass = MyClass() List<int> getBytesFromObject(Object object) { ??? what here should be ??? } so I can use it like: List<int> bytes = getBytesFromObject(myClass) 回答1: There are no builtin way to serialize Dart objects to binary. But you can convert Dart objects into JSON string and convert this string into a

问题 I am just learning the geo-django. I can find out the distance of all places from a point. But when I use .values method to the annotated distance field, I am getting TypeError: Object of type 'Distance' is not JSON serializable Here is my code snippets #models.py import uuid from django.contrib.gis.db import models from django.contrib.gis.db.models.functions import Distance from django.contrib.gis.geos import Point class PlaceManager(models.GeoManager): def get_queryset(self): qs = super

问题 My module contains a class which should be pickleable, both instance and definition I have the following structure: MyModule |-Submodule |-MyClass In other questions on SO I have already found that dill is able to pickle class definitions and surely enough it works by copying the definition of MyClass into a separate script and pickling it there, like this: import dill as pickle class MyClass(object): ... instance = MyClass(...) with open(..., 'wb') as file: pickle.dump(instance, file)

问题 I'm using the jira Python library for fetching issues from a jira server. In order to reduce the server load and network traffic, I would like to store the search_issues() result locally in serialized form. If most issues would be available locally, I would need to query only these issues which were updated recently. Unfortunately I ran into a problem, it seems a jira issue is not picklable. I always get the following error when calling dumps() for an issue: _pickle.PicklingError: Can't

问题 I'm using the jira Python library for fetching issues from a jira server. In order to reduce the server load and network traffic, I would like to store the search_issues() result locally in serialized form. If most issues would be available locally, I would need to query only these issues which were updated recently. Unfortunately I ran into a problem, it seems a jira issue is not picklable. I always get the following error when calling dumps() for an issue: _pickle.PicklingError: Can't