save

Create Text Document (Python) [closed]

我是研究僧i 提交于 2019-12-04 01:38:07
This question is unlikely to help any future visitors; it is only relevant to a small geographic area, a specific moment in time, or an extraordinarily narrow situation that is not generally applicable to the worldwide audience of the internet. For help making this question more broadly applicable, visit the help center . Closed 7 years ago . Lets say I want to create a document out of user-inputted code, called spam.txt . Assuming I have the user input, say: input("Is Python Good? ") How can I save the text, that the user inputted, to a text file, and can one do this? f = open('file.txt','w')

C Win32: save .bmp image from HBITMAP

感情迁移 提交于 2019-12-04 01:37:22
I am working with a framegrabber and need to get the images from computer memory and save them on an image file. after trying for couple of days I end up with the following 2 functions, which creates a file and windows OS is able to run the .bmp file, but the bitmap file is black (the image size is 900KB , 640*480). does any body has any idea why, the picture is in black? here are the two functions : LPSTR CreateBMP( HWND hAppWnd, int nImageType ) { void * pWinGBits = NULL; int i; Z_BITMAPINFO zWinGHeader; // bitmapinfo for cerating the DIB // create DC for bitmap. hDCBits = CreateCompatibleDC

How to save an NxNxN array (or Matrix) into a file in Julia (or Python)?

我只是一个虾纸丫 提交于 2019-12-04 00:28:17
I'm working on a Jupyter notebook and currently using Julia I'm trying to save a 3x3x3 Array into a textfile so when I include it in another notebook, the array is a 3x3x3 Array too. Any suggestions? Thanks in advance. You could use the JLD.jl (Julia Data) package: Pkg.add("JLD") using JLD r = rand(3, 3, 3) save("data.jld", "data", r) load("data.jld")["data"] The advantage of the JLD package is that it preserves the exact type information of each variable. Okay I admit that I am a python lover, though Julia is starting to grow on me. So as an old python user there is a Julia package that can

Fragment replacement triggers onQueryTextChange on searchview

前提是你 提交于 2019-12-03 23:57:25
问题 This is how I navigate through my app: Open fragment with list Filter list by a text entered in searchview Tap on listitem (list fragment gets replaced by detail fragment) Navigate back (detail fragment gets replaced by list fragment) When I navigate from list- to detail-fragment, I want to keep the current filter of the searchview in a string variable. I store the value of the searchview when onQueryTextChange is executed. The problem: I can't store the actual filter-value because

onSaveInstanceState not working

旧街凉风 提交于 2019-12-03 23:11:43
问题 I know this question has already been asked a lot, but I don't get why onSaveInstanceState isn't working for me. It's probably something stupid, but I hope some of you can help me out here.. Anyways, this is my code: public class Main extends Activity implements OnClickListener, OnKeyListener { EditText textitem; Button buttonadd; ListView listitems; ArrayList<String> ToDo; ArrayAdapter<String> AA; ArrayList<String> MyArrayList; /** Called when the activity is first created. */ @Override

Entity Framework 4 update and insert one function

那年仲夏 提交于 2019-12-03 22:48:27
I'm migrating from SubSonic to EF4. In SubSonic models had a function called Save, if the key of the model was 0 an insert was done, otherwise an update. Is there a way to make a generic Save function like in SubSonic? For exmaple using an extension method? Yes but you have to do it yourselves. Try something like this: public interface IEntity { int Id { get; set; } } ... public void SaveOrUpdate<T>(T entity) where T : IEntity { using (var context = new MyContext()) { if (entity.Id == 0) { context.AddObject(entity); } else { context.Attach(entity); context.ObjectStateManager.ChangeObjectState

How could I save data after closing my program?

我的未来我决定 提交于 2019-12-03 22:46:26
问题 I am currently working on a phone book directory using dictionaries. I didn't know any way to save the information after closing the program. I need to save the variable Information so that I can add more later and print it. Information={"Police":911} def NewEntry(): Name=raw_input("What is the targets name?") Number=raw_input("What is the target's number?") Number=int(Number) Information[Name]=Number NewEntry() print Information Edit: I am now using the Pickle module and this is my current

is there a way for flash AS3 to take a snapshot of a frame then save it as jpeg

主宰稳场 提交于 2019-12-03 22:38:31
问题 is there a way for flash AS3 to take a snapshot of the frame and then save it as jpeg with out using classes 回答1: Sure... try searching on google... there are tons of ways. That is assuming you are ok with the standard flash classes. If you literally mean no classes at all then good luck to you. Here is one way of doing it. flash-php-upload Basically the key points are you create a JPEG Encoder that will encode your image a JPEG (you could do a PNG if you want also) like this: var jpgEncoder

Load and save nested data in ExtJS 4

冷暖自知 提交于 2019-12-03 22:12:47
问题 I have two models: Book belongsTo Author. Let's survey the author data sent together with book data on its way from server to ExtJs and back. Server sends following nested data to ExtJs: { success : true, data: { id: '23', name: 'JavaScript - The definitive guide' author: { // <<-- nested author data id: '45', name: 'David Flanagan', } } } On side of ExtJs the data are treated by following model: Ext.define('My.models.Book', { extend: 'Ext.data.Model', idProperty: 'id', fields: [ 'id',, 'name

Keras save model issue

半城伤御伤魂 提交于 2019-12-03 21:51:48
This is a variational autoencoder network, I have to define a sampling method to generate latent z, I thinks it might be something wrong with this. This py file is doing training, the other py file is doing predicting online, so I need to save the keras model, there is nothing wrong with saving model, but when I load model from 'h5' file, it shows an error: NameError: name 'latent_dim' is not defined The following is code: df_test = df[df['label']==cluster_num].iloc[:,:data_num.shape[1]] data_scale_ = preprocessing.StandardScaler().fit(df_test.values) data_num_ = data_scale.transform(df_test