NBA | Network Balancing Act : A High-performance packet | GPU library

 by   ANLAB-KAIST C++ Version: Current License: MIT

kandi X-RAY | NBA Summary

kandi X-RAY | NBA Summary

NBA is a C++ library typically used in Hardware, GPU applications. NBA has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

"A High-performance packet processing framework for heterogeneous processors" (EuroSys 2015 paper).
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            kandi-support Support

              NBA has a low active ecosystem.
              It has 54 star(s) with 12 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 13 open issues and 18 have been closed. On average issues are closed in 122 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NBA is current.

            kandi-Quality Quality

              NBA has 0 bugs and 0 code smells.

            kandi-Security Security

              NBA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              NBA code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              NBA is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              NBA releases are not available. You will need to build from source code and install.
              It has 3159 lines of code, 127 functions and 38 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            NBA Key Features

            No Key Features are available at this moment for NBA.

            NBA Examples and Code Snippets

            No Code Snippets are available at this moment for NBA.

            Community Discussions

            QUESTION

            Python - Trying to Save File into Docker Volume
            Asked 2022-Apr-10 at 03:09

            I'm trying to write a python file in json within a Docker container. I'm using Jupyter Notebook in the container to load some urls from the NBA API, and eventually I want to write it to a NoSql database somewhere but for now I want the files to be saved inside the volume of the Docker container.. Unfortunately, when I run this Python code, I get the error

            ...

            ANSWER

            Answered 2022-Apr-10 at 03:09

            Based on the error look's you don't have the directory called “nba-matches” and the function save_nba_matches needs it; You could add directory validation, e.g.

            Source https://stackoverflow.com/questions/71812780

            QUESTION

            How to combine every 2 rows into 1 row
            Asked 2022-Mar-26 at 10:53

            I am trying to fix this NBA game detail table. Every two rows are the same game(GAME_ID) in the table. I want the two rows to be in one row so that the home team and the away team's data will be on the same row.

            ...

            ANSWER

            Answered 2022-Mar-26 at 10:53

            You can use set_index and unstack, then flatten headers.

            Here is some code I did for baseball games, I had to create my own Game No:

            Source https://stackoverflow.com/questions/71611269

            QUESTION

            Extract Words As A List After A Specicfic Word
            Asked 2022-Mar-10 at 18:02

            I've got this DataFrame, which is a description of sports and their leagues:

            ...

            ANSWER

            Answered 2022-Mar-10 at 17:49

            You can use Series.str.findall:

            Source https://stackoverflow.com/questions/71428594

            QUESTION

            Is it possible to average a value over the last 5 days based on criteria?
            Asked 2022-Mar-09 at 23:22

            I am trying to find the average of certain NBA data points over the last 5 and last 10 days. I want to know, for example, how many FG an opponent allowed over the last 5 days. I also want to calculate how many FG an opponent allowed over that time frame to a specific position. How could I go about doing that? I have attached the raw data in a googlesheet below.

            https://docs.google.com/spreadsheets/d/1HYliF8kjfTsf9ursxo0yi5SDF02ZruZXeK-WRdxDhmg/edit?usp=sharing

            I want to be able to average the data in column M, based on the opponent in column H as well as the date in column A. Eventually I would like to also average that data based on the position, which is in column AB. I appreciate the guidance!

            ...

            ANSWER

            Answered 2022-Mar-07 at 18:56

            average of last 10 days of FG values per each OPP:

            Source https://stackoverflow.com/questions/71385189

            QUESTION

            What format of table is at Lineups.com and how to scrape it in R
            Asked 2022-Mar-05 at 14:28

            I am new to scraping and have successfully scraped tables from these websites:-

            ...

            ANSWER

            Answered 2022-Mar-05 at 14:28

            QUESTION

            Tkinter function creates variable that can't be added to list with .get() from entry
            Asked 2022-Feb-21 at 23:00

            First off, I am aware that there are many questions out there with .get() not properly working and I have read through many of them. My issue is that my program has a button that every time it is pressed, it adds a new entry box for a new Player to be added, then I then want to create a Player object (I have the player class defined in another file) and add the Player object to a list. Here is the function for the "Add Player" button:

            ...

            ANSWER

            Answered 2022-Feb-21 at 22:00

            Once your program reaches the team_wind.mainloop() command nothing under it will execute because python will continute running mainloop() forever. This means that the function will never get to running player_list.append(Player(new_player_entry.get())).

            Source https://stackoverflow.com/questions/71213431

            QUESTION

            WebScraping ESPN Live Box Scores on Google Sheets
            Asked 2022-Feb-08 at 11:51

            I am trying to create a Google Sheet that tracks the live data from any NBA game (given the ur) on ESPN using

            ...

            ANSWER

            Answered 2022-Feb-04 at 18:10

            QUESTION

            Using GitHub Actions to create a .env file in the workflow
            Asked 2022-Jan-28 at 15:36

            I recently created this post trying to figure out how to reference GitHub Secrets in a GitHub action. I believe I got that solved & figured out and I'm onto a different issue.

            Below is a sample of the workflow code as of right now, the issue I need help with is the Create and populate .Renviron file part.

            ...

            ANSWER

            Answered 2021-Sep-01 at 09:23

            The file is there where you expect to be

            Source https://stackoverflow.com/questions/69006482

            QUESTION

            Pandas - What datatype should a duration column (mm:ss) be to use aggregates on it?
            Asked 2022-Jan-21 at 21:30

            I'm doing some NBA analysis and have a "Minutes Played" column for players in a mm:ss format. What dtype should this column be to perform aggregate functions (mean, min, max, etc...) on it? The df has over 20,000 rows, so here is a sample of the column in question:

            ...

            ANSWER

            Answered 2022-Jan-21 at 21:30
            import pandas as pd
            data = {
                'Minutes': ['18:30', '24:50', '33:21', '28:39', '27:30'],
                'Team': ['team1', 'team2', 'team1', 'team1', 'team2']
            }
            
            df = pd.DataFrame(data)
            df['Minutes'] = pd.to_timedelta('00:' + df['Minutes'].replace('',np.NaN)))
            df.groupby('Team')['Minutes'].mean()
            

            Source https://stackoverflow.com/questions/70806587

            QUESTION

            Using Len Of A List To Create Django HTML Pages?
            Asked 2022-Jan-21 at 00:34

            I know this has had to have been asked before, I can't seem to figure out the correct terminology to search to find what this is called or how to do it. I have a dynamic table that one day may have 5 items and the next 10 items (pulled from a DB), I am going to create hyperlinks within the table that would then open another HTML page specifically about that list object. I can't seem to figure out how to make this work? The way my mind works with Django right now is that I create a HTML file and URL view for each specific page, but if I one day want to create 3 and the next day 5 how can I do that, right now my mind can't understand how to dynamically create that HTML file for each thing in the list by using only one template? Just looking for someone to tell me what this is called if anything or what I can search in Django documentation to find examples? Edit after initial answer

            Here is my app URL file:

            URL

            ...

            ANSWER

            Answered 2022-Jan-19 at 22:17

            What I think you want is called a detail page. I'm going to call the model Item. You can create detail views for each item easily by doing something like the following on your urls.py:

            Source https://stackoverflow.com/questions/70763271

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install NBA

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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