My app uses a "per-user session" to allow multiple sessions from the same user to share state. It operates very similarly to the django session by pickling objects. I need to pickle a complex object that refers to django model objects. The standard pickling process stores a denormalized object in the pickle. So if the object changes on the database between pickling and unpickling,
我的应用程序使用“每用户会话”来允许来自同一用户的多个会话共享状态。 它通过酸洗对象与django会话非常类似。 我需要腌制一个指向django模型对象的复杂对象。 标准酸洗过程在酸菜中存储非规格化对象。 因此，如果对象在酸洗和取消打印之间发生更改，则该模型现在已过时。 （我知道这对于内存中的对象也是如此，但酸洗对于解决它来说是一个方便的时间。） 显然，将这个复合体存储在数据库中会更清洁，但这并不实际。
I'm trying to create a dynamic pipeline with GStreamer 1.8.2 and Python 3.5. The goal is to be able to playback some video and change it at EOS, achieving gapless playback in a way similar to using about-to-finish of playbin. My idea is filesrc -> decodebin -> queue -> videosink, then place a probe on decodebin video src, wait for EOS event, unlink filesrc and decodebin, create a
我试图用GStreamer 1.8.2和Python 3.5创建一个动态管道。 我们的目标是能够播放一些视频并在EOS上进行更改，以类似于使用playbin即将完成的方式实现无间断播放。 我的想法是filesrc - > decodebin - > queue - > videosink，然后在decodebin video src上放置一个探针，等待EOS事件，取消链接filesrc和decodebin，创建一个新的filesrc和新的decodebin广告，并在设置后将它们链接到视频接收器他们到播放状态。
I have a plot with two y-axes, using twinx() . I also give labels to the lines, and want to show them with legend() , but I only succeed to get the labels of one axis in the legend: import numpy as np import matplotlib.pyplot as plt from matplotlib import rc rc('mathtext', default='regular') fig = plt.figure() ax = fig.add_subplot(111) ax.plot(time, Swdown, '-', label = 'Swdown') ax.plot(time,
我有一个使用twinx()两个y轴的情节。 我也给线条添加了标签，并且想用legend()来显示它们，但是我只能成功获取图例中一个轴的标签： import numpy as np import matplotlib.pyplot as plt from matplotlib import rc rc('mathtext', default='regular') fig = plt.figure() ax = fig.add_subplot(111) ax.plot(time, Swdown, '-', label = 'Swdown') ax.plot(time, Rn, '-', label = 'Rn') ax2 = ax.twinx() ax2.plot(time, te
How can I set the y axis range of the second subplot to eg [0,1000] ? The FFT plot of my data (a column in a text file) results in a (inf.?) spike so that the actual data is not visible. pylab.ylim([0,1000]) has no effect, unfortunately. This is the whole script: # based on http://www.swharden.com/blog/2009-01-21-signal-filtering-with-python/ import numpy, scipy, pylab, random xs = [] rawsi
如何将第二个子图的y轴范围设置为例如[0,1000]？ 我的数据（文本文件中的一列）的FFT图产生一个（inf。？）尖峰，以便实际数据不可见。 pylab.ylim([0,1000]) 不幸的是，它没有效果。 这是整个脚本： # based on http://www.swharden.com/blog/2009-01-21-signal-filtering-with-python/ import numpy, scipy, pylab, random xs = [] rawsignal = [] with open("test.dat", 'r') as f: for line in f: if
I've got a bad smell in my code. Perhaps I just need to let it air out for a bit, but right now it's bugging me. I need to create three different input files to run three Radiative Transfer Modeling (RTM) applications, so that I can compare their outputs. This process will be repeated for thousands of sets of inputs, so I'm automating it with a python script. I'd like to sto
我的代码中有一种难闻的气味。 也许我只需要让它散发一点点，但现在它正在扰乱我。 我需要创建三个不同的输入文件来运行三个辐射传输建模（RTM）应用程序，以便我可以比较它们的输出。 这个过程将重复数千组输入，所以我使用python脚本自动化它。 我想将输入参数存储为一个通用的python对象，我可以将其传递给另外三个函数，每个函数都会将该通用对象转换为运行他们负责的RTM软件所需的特定参数。 我认为这是有道理的，但
from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait browser = webdriver.Firefox() browser.get("http://testsite.com") element = WebDriverWait(browser, 10).until(lambda browser : browser.find_element_by_id("element")) element.click() # it actually goes to page http://testsite.com/test-page.html print "Just clicked! And I'm expecting timeout error!" new_elemen
from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait browser = webdriver.Firefox() browser.get("http://testsite.com") element = WebDriverWait(browser, 10).until(lambda browser : browser.find_element_by_id("element")) element.click() # it actually goes to page http://testsite.com/test-page.html print "Just clicked! And I'm expecting timeout error!" new_elemen
I am getting an error running: C:Program Files (x86)Microsoft Visual Studio 9.0VCBINcl.exe /c /nologo /Ox /MD /W3 /GS- /DNDEBUG -DPYTHON -DJCC_VER="2.13" -D_java_generics -IX:Java16/include -IX:Java16/include/win32 -Ibuild_CMMCore -IC:Python26libsite-packagesjccsources -IC:Python26include -IC:Python26PC /Tpbuild_CMMCoreCMMCore.cpp /Fobuildtemp.win32-2.6Releasebuild_CMMCoreCMMCore.obj /EHsc /D_CR
我遇到了一个运行错误： C:Program Files (x86)Microsoft Visual Studio 9.0VCBINcl.exe /c /nologo /Ox /MD /W3 /GS- /DNDEBUG -DPYTHON -DJCC_VER="2.13" -D_java_generics -IX:Java16/include -IX:Java16/include/win32 -Ibuild_CMMCore -IC:Python26libsite-packagesjccsources -IC:Python26include -IC:Python26PC /Tpbuild_CMMCoreCMMCore.cpp /Fobuildtemp.win32-2.6Releasebuild_CMMCoreCMMCore.obj /EHsc /D_CRT_SECURE
I am trying to build a simple blog using DJango, this is my first experience with DJango. So for I have created a simple project by running django-admin.py startproject mysite, ran the dev server (manage.py runserver) and tested it in the web browser, it was running properly. Now I wanted to create a simple blog, so I did this, manage.py startapp blog, DJango created it successfully. Followin
我正在尝试使用DJango构建一个简单的博客，这是我第一次使用DJango。 因此，我通过运行django-admin.py startproject mysite创建了一个简单的项目，运行了dev服务器（manage.py runserver）并在Web浏览器中对其进行了测试，结果运行正常。 现在我想创建一个简单的博客，所以我做了这个，manage.py startapp博客，DJango成功创建了它。 以下是博客应用程序中models.py的代码。 class BlogPost(models.Model): title = mod
I read the django doc and some SO posts to know the differences between manage.py and django-admin.py. They all say: manage.py is automatically created in each Django project. manage.py is a thin wrapper around django-admin.py that takes care of two things for you before delegating to django-admin.py: It puts your project's package on sys.path. It sets the DJANGO_SETTINGS_MODULE envi
我阅读了django文档和一些SO帖子，以了解manage.py和django-admin.py之间的区别。 他们都说： manage.py会在每个Django项目中自动创建。 manage.py是django-admin.py的一个简单包装，在委托给django-admin.py之前为您处理两件事情： 它把你的项目的包放在sys.path中。 它设置DJANGO_SETTINGS_MODULE环境变量，以便它指向项目的settings.py文件。 所以我检查了这两个文件的scource代码（最新版本，所以它是doc）。
currently i have python project using django version 1.3 running on mountain lion OS and now i want to upgrade it to django 1.5. But when i put it and try to do python manage.py runserver i get an error saying Error: Can't find the file 'settings.py' in the directory containing 'manage.py'. It appears you've customized things. You'll have to run django-admin.py, p
目前我有python项目使用django版本1.3运行在山狮子操作系统，现在我想升级到Django 1.5。 但是，当我把它，并尝试做python manage.py runserver我得到一个错误说 错误：在包含'manage.py'的目录中找不到'settings.py'文件。 看起来你已经定制了一些东西。 你必须运行django-admin.py，将它传递给你的设置模块。 （如果文件settings.py确实存在，它会以某种方式导致ImportError。） 我意识到项目结构是不