wa | The Wa Programming Language: Simple, maintainable, compiled language for developing WebAssembly soft | Learning library
kandi X-RAY | wa Summary
kandi X-RAY | wa Summary
wa is a Go library typically used in Tutorial, Learning applications. wa has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
凹(Wa)语言(The Wa Programming Language)
凹(Wa)语言(The Wa Programming Language)
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Quality
Security
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Support
wa has a low active ecosystem.
It has 612 star(s) with 38 fork(s). There are 19 watchers for this library.
It had no major release in the last 12 months.
wa has no issues reported. On average issues are closed in 42 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of wa is v0.7.0
Quality
wa has no bugs reported.
Security
wa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
wa is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
wa releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of wa
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of wa
wa Key Features
No Key Features are available at this moment for wa.
wa Examples and Code Snippets
No Code Snippets are available at this moment for wa.
Community Discussions
Trending Discussions on wa
QUESTION
How to Insert Image based on the ComboBox text?
Asked 2021-Jun-15 at 15:35
I have tried to write the vba code for inserting and changing the image inside the user form in excel but I was not able to insert as well as to change the image based on the combo box, To insert the value in combo box I have added the row source as shown in the image ( List of fruits) and to insert the images I have kept in particular folder which you can find in my program.
pl. can anybody correct me in this program or help me to get this solved so that I can get the image in the image box of the user form.
I have tried with below program
...ANSWER
Answered 2021-Jun-15 at 15:35Try these two
QUESTION
MySQL: Copy related records from other tables after copying "parent" record
Asked 2021-Jun-12 at 13:13
In my app, I have a stored procedure that copies rows based on a time interval.
...ANSWER
Answered 2021-Jun-12 at 13:13You need to use the copied_wo column to join my_table with itself so you can get related_doc_id from the my_relations row linked to the original row in my_table.
QUESTION
Weighted Mean as a Column in Pandas
Asked 2021-Jun-11 at 22:42
I am trying to add a column with the weighted average of 4 columns with 4 columns of weights
...ANSWER
Answered 2021-Jun-11 at 19:55A straight-forward and simple way to do is as follows:
(Since your columns name for the weights are not consistently named, e.g. some with 's' and some without, some with capital 'W' and some with lower case 'w', it is not convenient to group columns e.g. by .filter())
QUESTION
Combine dataframe in python but avoid duplicates
Asked 2021-Jun-10 at 17:22
I have two dataframes, df1, and df2. I am joining on two different column names. For some reason when I perform this join, the result creates exponential duplicated rows. How would I avoid this. I am using outer join.
Data
df1
...ANSWER
Answered 2021-Jun-10 at 17:15Create a temp column t with groupby/cumcount and just use that column for the merge.
QUESTION
Print Element to Email Body Issue Python Selenium SMTPLIB
Asked 2021-Jun-10 at 01:13
Im really stuck here. Ive learnt how to use Selenium to scrape a price and in the above example it is for a fuel / gas / petrol website. I can get the price to print in my Terminal:
print("Best Petrol Price in Perth today is:", elem.text)
Though I am stuck in how to reference that price into the body of an email - Im using smtplib and Gmail. Credentials redacted and emails replaced with dummyholders.
...ANSWER
Answered 2021-Jun-10 at 01:13I you want to include the price into the email, may want to try using f string :
QUESTION
Application crashes once after I call MAPIUninitialize api
Asked 2021-Jun-09 at 11:08
So, I have been working with MAPI API's. In that Whenever I call the MAPIUninitialize api, my application crashes. on further debugging, I found that, IMAPISession::OpenMsgStore is the reason behind the crash, whenever the OpenMsgStore function is executed during the program runtime, my app crashes exactly after the MAPIUninitialize is triggered. which is similar to the discussion in this thread mentioned below, in which soln is not available.
https://peach.ease.lsoft.com/scripts/wa-PEACH.exe?A2=MAPI-L;e6f3847a.0801&S=
I have checked my program for memory leaks, and I'm sure there is none and also, if i comment that particular api, my program doesnt crash, i dont understand the reason for the crash. I have tried all possible alternatives. Can anyone help on this ?
...ANSWER
Answered 2021-May-24 at 16:00It mostly likely means you still have live MAPI objects. It is also possible that the sequence of MAPIInitialize / MAPIUninitialize is too quick and the common Office run-time is still (asynchronously) initializing when you attempt to shut it down.
Also, not all stores are created equal - IMAP4 is probably the worst.
QUESTION
Execute some JS after function with recursion
Asked 2021-Jun-07 at 17:40
I'm having a problem executing a piece of js after a function with recursion. I tried so many ways, I can't figure how this can be done. I imagine it must be pretty simple.
This is what i what to execute after the recursion:
...ANSWER
Answered 2021-Jun-07 at 17:40I believe adding condition to check whether the cycle is over and calling the callback after that should do:
QUESTION
How to build boost as shared libraries for Android
Asked 2021-Jun-07 at 07:22
I successfully compiled boost 1.70 for Android armeabiv7a with NDK r21b.
I used user-config.jam:
...ANSWER
Answered 2021-Jun-07 at 07:22By looking where a "ld.exe" was present in C:\Android\android_sdk\ndk-bundle\toolchains\llvm folder, I found some under C:\Android\r21a_Qt5_14\android_sdk\ndk-bundle\toolchains\llvm\prebuilt\windows-x86_64\\bin so I concluded that target platform was probably missing.
I added:
QUESTION
Collapsing dataframe based on id, storing multiple values for variables into lists
Asked 2021-Jun-05 at 20:30
I have a data frame in which I have an id variable fruit in the example. For some of the other variables, there is only one corresponding value to each id variable taste, ranking while for others, there are multiple color,origin.
I would like to collapse the data frame so that each id variable has one row. For the variables that have multiple values, I could ideally store them as a list.
However, I can't figure out a way to do this. Here is what I tried using summarise and unique for the variables with multiple values. However, I just got back the original data:
ANSWER
Answered 2021-Jun-05 at 19:34We can use summarise with across, store the unique elements in a list after doing a grouping by the columns of interest
QUESTION
output base64 image in html nodemailer
Asked 2021-Jun-02 at 16:51
I am trying to send out an email with node mailer, and it is sending the email, but I am trying to use an image in there, a base64 image. I've converted the image to base64, and done this:
...ANSWER
Answered 2021-Jun-02 at 16:51var base64 = `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`
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