I know this issue has been asked more than once, but as Django is evolving with new version, I'll ask the question again : I am using the model User (Django User, not in my models.py) and create another model with a Foreign key to User. models.py : class Plan(models.Model): user = models.ForeignKey(User) I can simply display every Plan in my user by doing this in admin.py : class P
我知道这个问题已经被问过不止一次，但是随着Django正在发展新版本，我会再次提出这个问题： 我正在使用模型用户（Django用户，不在我的models.py中），并创建另一个模型与用户的外键。 models.py ： class Plan(models.Model): user = models.ForeignKey(User) 我可以通过在admin.py执行此操作来简单地在我的用户中显示每个Plan ： class PlanInline(admin.TabularInline): model = Plan extra = 0 class My
I have a card model with some workouts models, each workouts has exactly the same data: exercise name, repetitions..etc The workouts are 7, one for each day of the week. So I wrote 7 models with exactly the same data, in this way in the admin model I have 7 workouts and for each I can add "+" how many exercises I want (using inlines) Is there a way to write the workout model only onc
我有一个带有一些训练模型的卡模型，每个训练有完全相同的数据：练习名称，重复..等等训练是7，一周中的每一天。 所以我用完全相同的数据编写了7个模型，这样在管理模型中我有7次训练，每次我都可以添加“+”多少次练习（使用内联） 有没有办法只编写一次锻炼模型，然后有可能在管理界面中多次添加锻炼模型？ （每次添加锻炼时，我希望能够在相同的管理视图中添加锻炼名称，重复次数等） class Card(models.Model): numbe
I asked some questions about Django inheritance in a previous question. Now I am trying to figure out how to get the admin interface to work with it. If I had some models like this: class ContentItem(models.Model): title = models.CharField(max_length=1000) page_order = models.IntegerField() last_update_date = models.DateTimeField(default=datetime.now()) class Meta: abst
我在前一个问题中询问了有关Django继承的一些问题。 现在我正试图弄清楚如何让管理界面使用它。 如果我有这样的模型： class ContentItem(models.Model): title = models.CharField(max_length=1000) page_order = models.IntegerField() last_update_date = models.DateTimeField(default=datetime.now()) class Meta: abstract = True ordering = ['page_order', 'last_update_date', 'title'
How can I create more than one ModelAdmin for the same model, each customised differently and linked to different URLs? Let's say I have a Django model called Posts. By default, the admin view of this model will list all Post objects. I know I can customise the list of objects displayed on the page in various ways by setting variables like list_display or overriding the queryset method i
我如何为同一个模型创建多个ModelAdmin，每个模型都进行了不同的定制并链接到不同的URL？ 假设我有一个名为Posts的Django模型。 默认情况下，此模型的管理视图将列出所有Post对象。 我知道我可以通过设置像list_display这样的变量或在我的ModelAdmin中重写queryset方法来以各种方式自定义页面上显示的对象列表，如下所示： class MyPostAdmin(admin.ModelAdmin): list_display = ('title', 'pub_date') def querys
Since learning about point charges in my physics II class this semester, I want to be able to investigate not only the static force and field distributions but the actual trajectories of movement of electrically charged particles. The first stage in doing this is to build a naive engine for simulating the dynamics of n individual point particles. I've implemented the solution using matrices
自从我在本学期的物理II课中了解了点电荷以后，我希望能够研究静态力和场分布，而不是调查带电粒子运动的实际轨迹。 这样做的第一步是建立一个模拟n个点粒子动力学的朴素引擎。 我已经在Python中使用矩阵实现了解决方案，并希望有人能评论我是否正确地做了这些。 由于我不知道会有什么样的动态，所以我无法直接从视频中得知我的方程实现是正确的。 我的特殊问题 特别是，我无法确定在计算力的大小时，我是否正确地计算了1
I'm very new to Selenium Web Browser Automation. I'm trying to write a test to verify a that the menu item for About actually goes to the About page in "http://www.seleniumhq.org/" Do you guys have an idea of how to achieve this by using Selenium Web Browser Automation Python?? Thanks you! 找到通过链接文本的About链接，点击它并检查driver.title的值是什么： from selenium import
我对Selenium Web Browser Automation很新。 我正在尝试编写一个测试来验证About的菜单项是否真正进入了“http://www.seleniumhq.org/”中的关于页面？您是否有想过如何通过使用Selenium Web浏览器自动化Python？ 谢谢！ 找到通过链接文本的About链接，点击它并检查driver.title的值是什么： from selenium import webdriver driver = webdriver.Firefox() driver.get("http://www.seleniumhq.org/") driver.find_element_by_
I have a directed tree, and I would like to get its size. I have no information about its depth or distribution of nodes. There are two major obstacles: 1) The tree is very large (~billions of nodes) 2) Edge traversal is expensive. Are there statistical methods I can use to get an estimate of its size (number of nodes) quickly and with bounded error? Unfortunately, googling just results
我有一棵定向树，我想要它的大小。 我没有关于它的深度或节点分布的信息。 有两个主要障碍： 1）树很大（〜十亿个节点） 2）边缘遍历是昂贵的。 是否有统计方法可以用来快速估算其大小（节点数量）并确定有界误差？ 不幸的是，Google搜索只会导致精确计数算法，在这些限制条件下执行效果不佳。 奖金 如果我放松从树到DAG（有向无环图）的约束，我可以同时获得其大小和数量的唯一路径吗？ 例如，对于这个DAG（每条
如何将一个pyglet精灵绑定到一个pymunk主体，这样如果主体正在旋转，精灵也会旋转？ There is no built in syncing so you have to do it on your own each frame. But dont worry, its very easy. If you have your body positioned in the middle of the shape/shapes, and the image is the same size there's two things you need. First, set the image anchor to half its size. Then in your update method you l
如何将一个pyglet精灵绑定到一个pymunk主体，这样如果主体正在旋转，精灵也会旋转？ 没有内置的同步功能，因此您必须在每个框架上进行同步。 但不要担心，这很容易。 如果你的身体位于形状/形状的中间，并且图像尺寸相同，则需要两件事情。 首先，将图片定位点设置为其大小的一半。 然后在你的更新方法中，你循环你想要同步的物体，并将精灵位置设置为身体位置，精灵旋转将身体旋转转换为度数。 您可能还需要将其旋转180度
I am trying to extract name(Indian) from unstructured string. Here come my code: text = "Balaji Chandrasekaran Bangalore | Senior Business Analyst/ Lead Business Analyst An accomplished Senior Business Analyst with a track record of handling complex projects in given period of time, exceeding above the expectation. Successful at developing product road maps and leading cross-functional softwa
我试图从非结构化字符串中提取名称（印度）。 这里来我的代码： text = "Balaji Chandrasekaran Bangalore | Senior Business Analyst/ Lead Business Analyst An accomplished Senior Business Analyst with a track record of handling complex projects in given period of time, exceeding above the expectation. Successful at developing product road maps and leading cross-functional software teams from prototy
I am using NLTK to extract the relationship between a PERSON and an ORGANIZATION. Also, I want to extract the relationship between ORGANIZATION and LOCATION. The NLTK version is 3.2.1. I've made use of Part-Of-Speech tagging and Named Entity Recognition (NER). Also the Parse Tree is drawn for the NER results. But I am not able to extract the mentioned relationships from that sentence.
我正在使用NLTK来提取PERSON和ORGANIZATION之间的关系。 另外，我想提取ORGANIZATION和LOCATION之间的关系。 NLTK版本是3.2.1。 我已经使用了词性标注和命名实体识别（NER）。 此外，为NER结果绘制分析树。 但我无法从这句话中提取上述关系。 代码如下： import nltk, re from nltk import word_tokenize sentence = "Mark works at JPMC in London every day" pos_tags = nltk.pos_tag(word_tokenize(sentence))