goa | Evolutionary optimization of extant software
kandi X-RAY | goa Summary
kandi X-RAY | goa Summary
a post-compilation optimization tool capable of optimizing myriad aspects of program runtime behavior. the three required inputs are (1) compiled program assembly code, (2) a test workload used to exercise candidate optimizations, and (3) a fitness function used to score runtime behavior. as opposed to compiler optimizations which maintain program semantics and typically target only executable speed and size, this technique is capable of addressing any measurable aspect of runtime behavior and may change program semantics. assembler code is modified using generic program transformations, taken from genetic programming, yielding candidate optimizations. the fitness of candidates are determined using by running on the workload and combining performance metrics with the fitness function. due to the inherent mutational robustness of software [1], many of these mutations will change the runtime behavior of software without
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of goa
goa Key Features
goa Examples and Code Snippets
Community Discussions
Trending Discussions on goa
QUESTION
I am trying to extract the data. I tried many solutions from Stackoverflow, but I failed to extract state_id and state_name. I know many similar questions have been answered but I am not able to do it.
Here you can get the json data:
...ANSWER
Answered 2021-Jun-13 at 04:28The dictionary is actually quite simple. We have the key states, and it's value is a list containing sub dictionaries. If we iterate through this list we can easily index state_id and state_name. Now I don't know how you want to store this gathered data, so I assumed it would be best to put each group of "state_id" & "state_name" in a tuple.
QUESTION
So I have a data frame like this
...ANSWER
Answered 2021-Jun-01 at 18:37The issue was in the application of df.apply
df.apply needs to be given a function taking in the value from each row it is being iterated over. You also need to clean the return of get_close_matches which returns a list, so you need to take the first element
QUESTION
I am new to api stuff and have come across a small piece of code in python to retrieve data which I would like to replicate in r:
python code:
...ANSWER
Answered 2021-May-25 at 20:12You make headers but never include them in your call to GET. Use them there.
QUESTION
I am working on cleaning the Twitter data which contains the "user_location" column. I want to make this column data uniform by removing the names of regions, cities, states and replacing them with the respective country. I was doing this manually. Is there any other way to do the same? My code is working good, but I want to optimize it if there is any other way. It's a brute force approach and even making my code too lengthy.
...ANSWER
Answered 2021-May-12 at 17:38Maybe something like this would work for you
QUESTION
The response from the API is:
...ANSWER
Answered 2021-May-12 at 08:22You're trying to send the Response object, while you want either the Python object from the response, in which case you can use res.json(), or you want the raw text of the response, in which case you can use res.text.
QUESTION
I am pretty new to Android.I am trying to parse a JSON url. But I am getting following error "Json parsing error: No value for unofficial-summary". Here is the response that I am getting.
Response from url: {"success":true,"data":{"summary":{"total":15616130,"confirmedCasesIndian":15616082,"confirmedCasesForeign":48,"discharged":13276039,"deaths":182553,"confirmedButLocationUnidentified":0},"unofficial-summary":[{"source":"covid19india.org","total":7945975,"recovered":7198877,"deaths":119538,"active":626192}],"regional":[{"loc":"Andaman and Nicobar Islands","confirmedCasesIndian":5466,"confirmedCasesForeign":0,"discharged":5243,"deaths":64,"totalConfirmed":5466},{"loc":"Andhra Pradesh","confirmedCasesIndian":976987,"confirmedCasesForeign":0,"discharged":915626,"deaths":7472,"totalConfirmed":976987},{"loc":"Arunachal Pradesh","confirmedCasesIndian":17113,"confirmedCasesForeign":0,"discharged":16835,"deaths":56,"totalConfirmed":17113},{"loc":"Assam","confirmedCasesIndian":227473,"confirmedCasesForeign":0,"discharged":217296,"deaths":1145,"totalConfirmed":227473},{"loc":"Bihar","confirmedCasesIndian":342059,"confirmedCasesForeign":0,"discharged":283863,"deaths":1841,"totalConfirmed":342059},{"loc":"Chandigarh","confirmedCasesIndian":35148,"confirmedCasesForeign":0,"discharged":30768,"deaths":421,"totalConfirmed":35148},{"loc":"Chhattisgarh","confirmedCasesIndian":574299,"confirmedCasesForeign":0,"discharged":442337,"deaths":6274,"totalConfirmed":574299},{"loc":"Dadra and Nagar Haveli and Daman and Diu","confirmedCasesIndian":5422,"confirmedCasesForeign":0,"discharged":4047,"deaths":4,"totalConfirmed":5422},{"loc":"Delhi","confirmedCasesIndian":905540,"confirmedCasesForeign":1,"discharged":807328,"deaths":12638,"totalConfirmed":905541},{"loc":"Goa","confirmedCasesIndian":69311,"confirmedCasesForeign":1,"discharged":60145,"deaths":926,"totalConfirmed":69312},{"loc":"Gujarat","confirmedCasesIndian":428177,"confirmedCasesForeign":1,"discharged":346063,"deaths":5615,"totalConfirmed":428178},{"loc":"Haryana","confirmedCasesIndian":371610,"confirmedCasesForeign":14,"discharged":318369,"deaths":3483,"totalConfirmed":371624},{"loc":"Himachal Pradesh","confirmedCasesIndian":79410,"confirmedCasesForeign":0,"discharged":68164,"deaths":1219,"totalConfirmed":79410},{"loc":"Jammu and Kashmir","confirmedCasesIndian":150238,"confirmedCasesForeign":0,"discharged":134697,"deaths":2071,"totalConfirmed":150238},{"loc":"Jharkhand","confirmedCasesIndian":172315,"confirmedCasesForeign":0,"discharged":137590,"deaths":1547,"totalConfirmed":172315},{"loc":"Karnataka","confirmedCasesIndian":1198644,"confirmedCasesForeign":0,"discharged":1025821,"deaths":13646,"totalConfirmed":1198644},{"loc":"Kerala","confirmedCasesIndian":1272637,"confirmedCasesForeign":8,"discharged":1148671,"deaths":4978,"totalConfirmed":1272645},{"loc":"Ladakh","confirmedCasesIndian":12556,"confirmedCasesForeign":0,"discharged":10610,"deaths":134,"totalConfirmed":12556},{"loc":"Lakshadweep","confirmedCasesIndian":1335,"confirmedCasesForeign":0,"discharged":817,"deaths":1,"totalConfirmed":1335},{"loc":"Madhya Pradesh","confirmedCasesIndian":433704,"confirmedCasesForeign":0,"discharged":350720,"deaths":4713,"totalConfirmed":433704},{"loc":"Maharashtra","confirmedCasesIndian":3960356,"confirmedCasesForeign":3,"discharged":3213464,"deaths":61343,"totalConfirmed":3960359},{"loc":"Manipur","confirmedCasesIndian":29869,"confirmedCasesForeign":0,"discharged":29106,"deaths":378,"totalConfirmed":29869},{"loc":"Meghalaya","confirmedCasesIndian":15116,"confirmedCasesForeign":0,"discharged":14105,"deaths":154,"totalConfirmed":15116},{"loc":"Mizoram","confirmedCasesIndian":5085,"confirmedCasesForeign":0,"discharged":4569,"deaths":12,"totalConfirmed":5085},{"loc":"Nagaland","confirmedCasesIndian":12650,"confirmedCasesForeign":0,"discharged":12299,"deaths":94,"totalConfirmed":12650},{"loc":"Odisha","confirmedCasesIndian":377464,"confirmedCasesForeign":0,"discharged":349377,"deaths":1953,"totalConfirmed":377464},{"loc":"Puducherry","confirmedCasesIndian":48974,"confirmedCasesForeign":0,"discharged":43184,"deaths":717,"totalConfirmed":48974},{"loc":"Punjab","confirmedCasesIndian":309316,"confirmedCasesForeign":0,"discharged":264562,"deaths":8045,"t
What am I doing wrong?
...ANSWER
Answered 2021-Apr-26 at 06:32Json is like
QUESTION
hello guys does anyone know how to filter data or sort using like operator the data in JSON_ARRAYAGG() , I want to add Like operator in Following query. how I can achieve this as I am newbie in MySQL
...ANSWER
Answered 2021-Apr-12 at 04:55https://dev.mysql.com/doc/refman/5.7/en/aggregate-functions.html#function_json-arrayagg says:
JSON_ARRAYAGG(col_or_expr)Aggregates a result set as a single JSON array whose elements consist of the rows. The order of elements in this array is undefined.
https://bugs.mysql.com/bug.php?id=94696 is a feature request from 2019, asking for a way to sort elements before aggregating them with JSON_ARRAYAGG(). That ticket is in a "Verified" state, meaning it has been accepted as a feature request, but it has not been implemented.
The GROUP_CONCAT() aggregate function has an optional ORDER BY clause you can use inside the function call, but none of the other aggregate functions have such a clause.
You can take advantage of an unofficial method: because InnoDB tables read rows in index order according to the index used to access the table, you can use indexes to make it use a specific index.
Here's a table of test data:
QUESTION
export class AppComponent implements OnInit {
title = 'bucketList';
bucketList: BucketListItem[] = [
new BucketListItem(
"Goa Trip",
"Travel to Goa"
)
];
ngOnInit() {
}
onItemAdded(eventData) {
this.bucketList.push(new BucketListItem(eventData.itemName, eventData.itemDescr));
}
onItemDeleted(delData) { //delData = "Goa Trip"
console.log(this.bucketList); //prints {"itemName":"Goa Trip","itemDescr":"Travel to Goa"
this.bucketList = this.bucketList.filter(function (obj) {
return obj.itemName !== delData;
});
console.log(this.bucketList); //prints {"itemName":"Goa Trip","itemDescr":"Travel to Goa"
}
}
ANSWER
Answered 2021-Mar-30 at 15:38You need to assign the value after filtering.
QUESTION
I have a list of connections that are possible between the elements, for example:
...ANSWER
Answered 2021-Mar-09 at 07:40This is essentially what @Cristian already says in the comment, but you can do it like this:
QUESTION
I have data of this sort. I have arrays saved in an object, and am trying to append the options from my object into the select option. It is displaying correctly in the first select option, but not displaying on the second. The following is my code.
...ANSWER
Answered 2021-Mar-03 at 15:58You cannot have 2 or more elements with the same I'd on the same page...
That is 2 countrySel IDs; so only 1 element will end up usable in js. Use different IDs...
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install goa
Steel Bank Common Lisp (SBCL) [6] or Clozure Common Lisp (CCL) [7].
The Quicklisp [8] Common Lisp package manager which will be used to install all of the required lisp packages. Follow the instructions on the Quicklisp site to install it.
Under the directory to which quicklisp has been installed (by default ~/quicklisp), there will be a local-projects directory. Clone the following git repositories into this directory. git clone git://github.com/eschulte/software-evolution.git git clone git://github.com/eschulte/delta-debug.git You will also need to symlink this repository into your `local-projects` directory. ln -s $(pwd) ~/quicklisp/local-projects/ Finally, ensure Quicklisp has been added to your init file, and then use Quicklisp to register these newly cloned local projects. (ql:add-to-init-file) (ql:register-local-projects)
Once Quicklisp and these dependencies have all been installed, run the following to install the GOA package and all of its dependencies. (ql:quickload :goa) It may also be necessary to explicitly load some additional dependencies with the following. (ql:quickload :trivial-gray-streams) (ql:quickload :lhstats)
Checkout the following tool for the protected execution of shell commands through the file system. This serves to isolate the evolutionary process from the many errors thrown during extremely long-running optimization runs, the accumulation of which can occasionally stall the lisp process. From the base of this directory run the following to clone sh-runner. git clone git://github.com/eschulte/sh-runner.git
At this point it is possible to run program optimization from the lisp REPL as described below. To build a command line program optimization executable, install buildapp [9] and then run make.
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