mdict | node.js mdict file reader | Runtime Evironment library
kandi X-RAY | mdict Summary
kandi X-RAY | mdict Summary
This project is out of date and there're no plans to update it. Please use terasum/js-mdict for your projects. node.js mdict (*.mdx, *.mdd) file reader. Rude refactoring of to make it work on nodejs by Jeka Kiselyov. Done enough to make it work for my project(with predefined dictionaries). It's tested with few .mdx files only, so there may be some bugs with other dictionaries. Please check and please feel free to submit pull requests with optimizations, unit tests etc. Released under terms of the MIT License, as original library. This is on GitHub.
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QUESTION
when a JavaScript program requests to open a document in a new window, QWebEnginePage::createWindow() would be called to create a new window, while I want to (1) open the new window using QDesktopServices.openUrl(url) instead, and (2) keep the view in my QWebEngineView unchanged. My solution cannot satisfy (2), so any simpler solutions ?
ANSWER
Answered 2021-Mar-22 at 13:59A possible solution is to create a page that only serves to obtain the url, and when you get it, delete it and launch the url with QDesktopServices::openUrl():
QUESTION
ddict = defaultdict(set)
file_str = query_csv_s3(s3, BUCKET_NAME, filename, sql_exp, use_header)
# read CSV to dataframe
df = pd.read_csv(StringIO(file_str))
fdf = df.drop_duplicates(subset='cleverTapId', keep='first')
fdf.dropna(inplace=True)
col_one_list = fdf['identity'].tolist()
col_two_list = fdf['cleverTapId'].tolist()
for k, v in zip(col_one_list, col_two_list):
ddict[k].add(v)
for imkey in ddict:
im_length = len(str(imkey))
if im_length == 9:
if len(ddict[imkey]) == 1:
for value in ddict[imkey]:
tdict = {imkey:value}
write_to_csv(FILE_NAME,tdict)
else:
ctlist = list(ddict[imkey])
snp_dict = {imkey:'|'.join(ctlist)}
write_to_csv(SNAP_FILE_NAME, snp_dict)
elif im_length > 0:
if len(ddict[imkey]) == 1:
for value in ddict[imkey]:
fdict = {imkey:value}
write_to_csv(FRAUD_FILE_NAME,fdict)
else:
pass
# mult_ct = list(ddict[imkey])
# mydict = {imkey:','.join(mult_ct)}
# write_to_csv(MY_FILENAME,mydict)
else:
pass
ANSWER
Answered 2021-Feb-17 at 14:24This is essentially a guess, because I can't run your code. The way you write data to your CSV files is extremely inefficient.
I/O operations to SSDs or Disks are among the more expensive operations in IT. Right now you open a file for each line you want to append, then append it and close the file again. That means for a 530 MB file you're probably doing millions of these expensive operations.
If you check out the performance tab in task manager you'll probably see a very high disk usage.
It's much more efficient to buffer a few of these (or all if RAM is big enough) in memory and flush them to disk at the end.
Roughly like this:
QUESTION
Is it possible to load the weights to the last layer in my new model from trained network by using set_weights and get_weights scheme ? The point is, i saved the weight of each layer as a mat file (after training) to make some calculation in Matlab and i want just the modified weights of the last layer to be loaded to the last layer in my new model and other layers get the same weights as the trained model. It is a bit trickey, since the saved format is mat.
...ANSWER
Answered 2020-Aug-24 at 13:55If it was saved as a .h5 file format, this works. However, I’m not sure about .mat:
In simplicity, you just have to callget_weights on the desired layer, and similarly, set_weights on the corresponding layer of the other model:
QUESTION
This question is similar to what asked here and here. Unfortunately, in my case the suggested solution didn't fix the problem.
I need to work with the MNIST dataset but I can't fetch it, even if I specify the address of the scikit_learn_data/mldata/ folder (see below). How can I fix this?
In case it might help, I'm using Anaconda.
Code:
...ANSWER
Answered 2017-Nov-16 at 09:09Instead of :
QUESTION
I have a .npz file that I would like to save as a .mat file.
The file A.npz contains A['arr_0', 'arr_1', 'arr_2']
Currently, I am saving each one individually using the following:
...ANSWER
Answered 2018-Feb-15 at 17:54Create a npz:
QUESTION
This code has the Swift compiler complaining about the second iteration using the returned DictionaryIterator:
ANSWER
Answered 2020-Mar-07 at 18:57In general, an iterator is not something you can say for...in to; it is the reason why you can say for...in to something else. Under the hood for...in is actually a while loop that repeatedly calls next on the iterator. Now that you’ve looked behind the curtain, that is what you must use too.
So, for example, let's say we have a dictionary
QUESTION
I have a following question: if I have a dictionary and list, for example:
...ANSWER
Answered 2019-May-18 at 08:01You may have to use OrderedDict if you want to preserve the ordering. For your case the below code should work. Remember the OrderedDict preservers insertion order.
QUESTION
I have a GUI where user selects gas components from list and moves it to 'Chosen' and another button takes text from 'Chosen' that has columns: Gas Component, Molecular Weight, Mol%. The first two columns get information from a dictionary that i've created, and last column is user input.
When button is clicked and all values are filled in 'Chosen', it will ask user for a number, n = 1-6 , it will then take rows with n highest mol% in 'Chosen' and create n rows in Results and add Gas Component text with n highest mol% values, to first column in 'Results'
I am currently using dictionaries to keep track of information.
...ANSWER
Answered 2019-May-01 at 22:40If you want to get the n rows where the mol% are the highest then you must use a QSortFilterProxyModel to sort, and another to filter.
QUESTION
I want to read a .mat file from a github link (https://github.com/pranavn91/APS/blob/master/data.mat) and store it into a variable. I am using python3 and google colab.
First method:
...ANSWER
Answered 2019-Feb-11 at 15:53Here's an example:
https://colab.research.google.com/drive/1GGyNoKYHECmf-vlH3AZdTsGjKgttaSkY
Relevant bits:
QUESTION
I was looking for any library or sources which helps me to read MDX dictionary files in Java, I have found some resources already such as mdict-android-opensource but it does not have its implantations to how read mdx database files. Does any one knows a good source about these files and possible libraries which could be used for it? Thanks very much.
...ANSWER
Answered 2018-Sep-08 at 11:38As far as I know, mdx is not a 'database'. database can be something like a file system, while mdx is just a set of binary data stored on the disk. However they uses similar techniques: Index and Binary search.
mdict-android-opensource only opensourced it's UI side.
Here's my implementation to parse and query mdx files: mdict-java ,it's under the Apache license.
and you can also try my application on the play store.
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