bhh | Bounding Halfspace Hierarchy | Widget library

 by   bryanmcnett C++ Version: Current License: No License

kandi X-RAY | bhh Summary

kandi X-RAY | bhh Summary

bhh is a C++ library typically used in User Interface, Widget, Example Codes applications. bhh has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Above we have an array of 15 triangle structures [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14] where each structure contains the three values {minX, minY, -(maxX+maxY)}. In 2D any 3 or more axes will do*, but we chose these for convenience. It is possible to sort the entire array by increasing value of minX. Then, we can consider the median triangle (#7) to be done. Next, we sort each of the two subarrays [0,1,2,3,4,5,6] and [8,9,10,11,12,13,14] by minY. Then, we can consider their median triangles (#3 and #11) to be done. Next, we can sort each of the four subarrays [0,1,2] and [4,5,6] and [8,9,10] and [12,13,14] by -(maxX+maxY). Then we can consider their median triangles (#1 and #5 and #9 and #13) to be done. If we try to sort the arrays on either side of the newly-done medians, we find that each contains only one item, and so there is no more sorting to do. But if there were sorting left to do, we would cycle through the same three half-spaces, over and over again.
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            kandi-support Support

              bhh has a low active ecosystem.
              It has 116 star(s) with 3 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              bhh has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bhh is current.

            kandi-Quality Quality

              bhh has no bugs reported.

            kandi-Security Security

              bhh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              bhh does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bhh releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            bhh Key Features

            No Key Features are available at this moment for bhh.

            bhh Examples and Code Snippets

            No Code Snippets are available at this moment for bhh.

            Community Discussions

            QUESTION

            Merging to dataframes based on their latitudes
            Asked 2020-May-02 at 19:15

            I am simply trying to merge/join to dataframes based on their latitudes. Whenever I run the below code it will only return a dataframe in which some of the latitudes have matched up. I have tried converting the "Lat" column from number to character and that did not have any effect. I have also tried using the join function in plyr without any luck. I am not sure where to go from here. Thank you.

            ...

            ANSWER

            Answered 2020-May-02 at 15:40

            If you merge by latitude and longitude after rounding the numbers to 5 digits, you'll obtain a complete set of matches for df1.

            Source https://stackoverflow.com/questions/61561819

            QUESTION

            Calculating Intake energy with loops
            Asked 2020-Apr-23 at 15:37

            I am trying to run through an old coworkers script and I am hoping someone can help inform me of what exactly he did during this code segment. Earlier in the script we calculated the intake rate for several prey species and now it appears that we are grouping them based on unique locations. The section of code after this requires that there be 41 rows ( 1 row for each unique location in the complete dataset). I believe that the code subsets the data based on latitude and then adds an 'alpha' column. The main issue that I am having is what is this line calculating: x= x + d$Intakerate_kjday[j]*d$alpha[j]. For locations that had several prey items (profit.fall.38.4.959) is this code summing up "intakerate_kjday" and "alpha" and then multiplying them together? When the code is performed I receive the error Error in

            ...

            ANSWER

            Answered 2020-Apr-23 at 15:37

            The code in question apparently computes (very inefficiently and inaccurately)

            Source https://stackoverflow.com/questions/61388545

            QUESTION

            Selecting unique values from a column and look for respective associated data from other dataframes
            Asked 2018-Mar-23 at 09:10

            This is for anyone if they are looking for a solution of such kind of a problem. I will try to explain the problem here and put the answer after that.

            Question

            I have two csv files (file1.csv and file2.csv): in which cookieid column is common in both. When I load it in dataframe it looks like this for ex:

            ...

            ANSWER

            Answered 2018-Mar-23 at 09:10
            import pandas as pd
            import numpy as np
            import string
            
            
            DATA_FILE1 = 'file1.csv'
            ## encodings vary from file to file
            df1 = pd.read_csv(DATA_FILE1,sep=',',encoding='ISO-8859-1')
            DATA_FILE2 = 'file2.csv'
            df2 = pd.read_csv(DATA_FILE2,sep=',',encoding='ISO-8859-1')
            
            #creating a list of unique cookieids from both the files
            cookielist =[]
            
            uniqcookie1 = df1["CookieID"].unique()
            uniqcookie2 = df2["CookieID"].unique()
            
            for i in uniqcookie1:
                cookielist.append(i)
            for j in uniqcookie2:
                cookielist.append(j)
            
            for i in cookielist:
                dfout1 = df1.loc[df1['CookieID'] == i]
                dfout2 = df2.loc[df2['CookieID'] == i]
                bigdata = pd.concat([dfout1, dfout2], axis=1)
                k = bigdata.loc[:, bigdata.columns != 'CookieID']
                k.to_csv(str(i)+".txt",header=None, index=None, sep=' ', mode='a')
            

            Source https://stackoverflow.com/questions/49349215

            QUESTION

            Replace unique values in specific columns in a dataframe
            Asked 2018-Mar-13 at 11:56

            My dataframe looks like this:

            ...

            ANSWER

            Answered 2018-Mar-10 at 19:06

            QUESTION

            Pandas dataframe replace unique values in a column
            Asked 2018-Mar-08 at 14:53

            My dataframe looks like this:

            ...

            ANSWER

            Answered 2018-Mar-08 at 13:45

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

            Vulnerabilities

            No vulnerabilities reported

            Install bhh

            You can download it from GitHub.

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            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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