How to avoid enormous additional memory consumption when using numpy vectorize?

This code below best illustrates my problem: The output to the console (NB it takes ~8 minutes to run even the first test) shows the 512x512x512x16-bit array allocations consuming no more than expected (256MByte for each one), and looking at "top" the process generally remains sub-600MByte as expected. However , while the vectorized version of the function is being called, the proce

如何在使用numpy向量化时避免巨大的额外内存消耗?

以下代码最能说明我的问题: 输出到控制台(注意,即使是第一次测试也需要大约8分钟的时间)显示512x512x512x16位阵列分配的消耗不超过预期(每个256MByte),并且看起来“最高”如预期的那样600MByte。 但是 ,在调用该函数的矢量化版本时,该过程将扩展到巨大的大小(超过7GB!)。 即使是最明显的解释,我可以想到解决这个问题 - 矢量化将输入和输出转换为float64内部 - 只能占几个千兆字节,即使向量化函数返回一个int16

Type or expose request.data in Flask for known content

I am recreating a service in Python/Flask and am running into an issue with the way the existing clients authenticate. I have to match the existing clients scheme for compatibility reasons. The existing clients take the username, password and base64 encode it. This is not HTTP Basic Authentication, despite sounding similar. Below is some sample code that would create this login request. cre

在Flask中键入或显示已知内容的request.data

我正在Python / Flask中重新创建一个服务,并且遇到了现有客户端验证方式的问题。 出于兼容性原因,我必须匹配现有的客户端方案。 现有的客户端使用用户名,密码和base64编码。 尽管听起来类似,但这不是HTTP基本认证。 以下是一些将创建此登录请求的示例代码。 credentials = { 'username': 'test@example.com', 'password': 'password' } data = b64encode(urlencode(credentials)) request = ur

How to Pickle a python dictionary into MySQL?

I looked through several SO-Questions for how to pickle a python object and store it into a database. The information I collected is: import pickle or import cpickle . Import the latter, if performance is an issue. Assume dict is a python dictionary (or what so ever python object): pickled = pickle.dumps(dict) . store pickled into a MySQL BLOB Column using what so ever module to communica

如何将一个python字典浸入到MySQL中?

我浏览了几个SO-Questions,以了解如何腌制python对象并将其存储到数据库中。 我收集的信息是: import pickle或import cpickle 。 如果性能是一个问题,则导入后者。 假设dict是一个python字典(或者python对象): pickled = pickle.dumps(dict) 。 店pickled用什么那么模块数据库进行通信到MySQL BLOB列。 再次出来。 并使用pickle.loads(pickled)来恢复python字典。 我只是想确保我明白这个权利。 我错过了关

Selenium syntax for Verifications that work with Hudson / jenkins

I've gone through various tutorials and Stack Overflow posts and understand that Selenium can output XML test results in a way that Hudson can read/report them in HTML format. What I don't understand is the syntax to use in Python, to get the results to look something like: Testcase_LoginPage.VerifyButton1Present fail Testcase_LoginPage.VerifyButton2Present pass Currently, when I dr

验证的Selenium语法适用于Hudson / jenkins

我已经通过各种教程和Stack Overflow帖子了解Selenium可以以Hudson可以以HTML格式读取/报告它们的方式输出XML测试结果。 我不明白的是在Python中使用的语法,使结果看起来像这样:Testcase_LoginPage.VerifyButton1Present 失败 Testcase_LoginPage.VerifyButton2Present 传递 目前,当我在Hudson中深入研究结果时,他们不会像我上面描述的那样以有用的方式进行格式化,并且它会报告它只运行一次测试,即使它运行了多个断

Copying triangular image region with PIL

I have two PIL images and two sets of corresponding 2D points that make a triangle. For example: image1: 100x100 pixels points = [(10,10), (20,20), (10,20)] image2: 250x250 pixels points = [(35,30), (75,19), (50,90)] I want to copy the triangular region from image1 and transform it to fit into the corresponding triangular region of image2. Is there any way to do this with PIL without having

用PIL复制三角形图像区域

我有两个PIL图像和两组相应的2D点,它们构成一个三角形。 例如: image1: 100x100 pixels points = [(10,10), (20,20), (10,20)] image2: 250x250 pixels points = [(35,30), (75,19), (50,90)] 我想复制image1中的三角区域并将其转换为适合image2的相应三角区域。 有没有办法与PIL做到这一点,而不必逐个像素地复制并自己计算转换? 我能够通过仿射变换来完成此任务(感谢这个问题)。 仿射变换之后,将目标三角形绘制

Vim Python indentation not working?

I have Vim 7 (enhanced) on CentOS 5, and it comes with all the usual Vim plugins/scripts ready to go. $ find /usr/share/vim/vim70/ -name *python* /usr/share/vim/vim70/syntax/python.vim /usr/share/vim/vim70/ftplugin/python.vim /usr/share/vim/vim70/indent/python.vim /usr/share/vim/vim70/autoload/pythoncomplete.vim I would think that when opening a file ending in .py ( vim file.py ) it would autom

Vim Python缩进不起作用?

我在CentOS 5上安装了Vim 7(增强版),它配备了所有常用的Vim插件/脚本。 $ find /usr/share/vim/vim70/ -name *python* /usr/share/vim/vim70/syntax/python.vim /usr/share/vim/vim70/ftplugin/python.vim /usr/share/vim/vim70/indent/python.vim /usr/share/vim/vim70/autoload/pythoncomplete.vim 我认为当打开一个以.py( vim file.py )结尾的文件时,它会自动加载这些插件,但我不确定是这种情况。 我想要的是:

What can you execute on visually selected text in vim?

What are the possible operations (with keyboard shortcuts) that you could execute on a visually selected text? For the simplicity consider this simple piece: a b cd 1 p a b cd 2 y a b cd 3 t a b cd 4 h a b cd 5 o a b cd 6 n One specific question : is it possible to execute Python/shell commands/scripts on selections? A couple more specific questions:

你可以在vim的可视化选择的文本上执行什么?

可以在可视化选择的文本上执行哪些可能的操作(使用键盘快捷键)? 为了简单考虑这个简单的部分: a b cd 1 p a b cd 2 y a b cd 3 t a b cd 4 h a b cd 5 o a b cd 6 n 一个具体问题 :是否可以在选择时执行Python / shell命令/脚本? 一些更具体的问题: 1-)如何就地排序python列? 2-)如何切换列的位置? 3-)如何增加值? (也就是说,只有选中的数字大于3) 谢

Reading JSON from a file?

I am getting a bit of headache just because a simple looking, easy statement is throwing some errors in my face. I have a json file called strings.json like this: "strings": [{"-name": "city", "#text": "City"}, {"-name": "phone", "#text": "Phone"}, ..., {"-name": "address", "#text": "Address"}] I want to read the json file, just that for now. I have these statements which I found

从文件中读取JSON?

我只是因为一个简单的看起来简单的陈述而在我的脸上抛出一些错误而感到头痛。 我有一个名为strings.json的json文件,如下所示: "strings": [{"-name": "city", "#text": "City"}, {"-name": "phone", "#text": "Phone"}, ..., {"-name": "address", "#text": "Address"}] 我现在想读取json文件。 我发现了这些陈述,但它不起作用: import json from pprint import pprint with open('strings.json') as json

python: TypeError: can't write str to text stream

I must be doing something obviously wrong here. But what is it, and how do I fix? Python 2.6.5 (r265:79096, Mar 19 2010, 21:48:26) [MSC v.1500 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import io >>> f1 = io.open('test.txt','w') >>> f1.write('bingo') Traceback (most recent call last): File "<stdin>", lin

python:TypeError:无法将str写入文本流

我必须在这里做一些明显错误的事情。 但它是什么,我该如何解决? Python 2.6.5 (r265:79096, Mar 19 2010, 21:48:26) [MSC v.1500 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import io >>> f1 = io.open('test.txt','w') >>> f1.write('bingo') Traceback (most recent call last): File "<stdin>", line 1, in <module&g

Request to Flask via Curl

This question already has an answer here: How to get POSTed json in Flask? 4 answers How to POST JSON data with Curl from Terminal/Commandline to Test Spring REST? 18 answers According to the get_json docs: [..] function will return None if the mimetype is not application/json but this can be overridden by the force parameter. So, either specify the mimetype of the incoming request to

请求通过卷曲瓶

这个问题在这里已经有了答案: 如何在Flask中获得发布的json? 4个答案 如何使用终端/命令行中的Curl来发布JSON数据以测试Spring REST? 18个答案 根据get_json文档: 如果mimetype不是application/json [..]函数将返回None ,但这可以被force参数覆盖。 因此,要么将传入请求的MIME类型指定为application/json : curl localhost:5000/post -d '{"foo": "bar"}' -H 'Content-Type: application/json' 或强制JSON