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i installed latest openshift origin, , created jenkins project provided templates, cannot seem ping git repos (gitlab.com or github.com) jenkins instance. jenkins instance has respective plugins installed , seems working fine otherwise. doing "oc rsh " pod, , pinging gitlab.com, timeouts, though i'm not sure if expected or not. i'm guessing i'm missing obvious, cannot figure out is.

i'm trying implement method have obtain values of pixels forms line @ angle through pixel (i, j) consider following code snippet sum = image.getpixel(((i - 7), (j + 2))) + image.getpixel(((i - 6), (j + 2))) + image.getpixel( ((i - 5), (j + 1))) + image.getpixel( ((i - 4), (j + 1))) + image.getpixel(((i - 3), (j + 1))) + image.getpixel(((i - 2), (j + 1))) + image.getpixel( ((i - 1), j)) + image.getpixel((i, j)) + image.getpixel(((i + 1), j)) + image.getpixel( ((i + 2), (j - 1))) + image.getpixel(((i + 3), (j - 1))) + image.getpixel(((i + 4), (j - 1))) + image.getpixel( ((i + 5), (j - 1))) + image.getpixel(((i + 6), (j - 2))) + image.getpixel(((i + 7), (j - 2))) avg_sum = sum / 15 now in above code know pixels relative i, j forms line @ angle 15 degrees. hence able values of pixels. now there easy way because code find sum of grey level of 15 pixels forms line @ 15 degree through i, j. want code flexible can find sum of line of length 15 pixels or 13 p...

i new r , i´ve been having trouble following: i want possible combinations (up 3 independent variables in example) arimax model. suppose have thefollowing sample data: library(forecast) airpassengers_1<-ts(airpassengers, start = c(1949,1), frequency = 12, end =c(1960,12)) nottem_1<-ts(nottem, start = c(1949,1), frequency = 12, end = c(1960,12)) sunspots_1<-ts(sunspots, start = c(1949,1), frequency = 12, end = c(1960,12)) sunspot.month_1<-ts(sunspot.month, start = c(1949,1), frequency = 12, end = c(1960,12)) base<-cbind(airpassengers_1,nottem_1,sunspots_1,sunspot.month_1) i going use airpassengers_1 variable dependent variable , others independent variables. next create matrix possible combinations of explanatory variables going included in auto.arima formula (forecast package). cant_variables<-dim(base)[2]-1 cant_regresores<-3 x=c(1:cant_variables) if(cant_regresores==1){ v<-t(combn(x, 1)) v<-cbind(v,matrix(0,nrow(v),2)) h<...

i keep getting following error when trying run metamds() vegan package: my_mds <- vegan::metamds(df_species, distance="bray", k=2, trymax=1000, autotransform=true) error in .c("veg_distance", x = as.double(x), nr = n, nc = ncol(x), d = double(n * : "veg_distance" not available .c() package "vegan" i have tried: 1. searching online error - yields 0 results 2. reducing size of data frame 17 rows , 12 columns 3. clearing packages global environment eliminate potential package conflicts 4. specifying vegan::metamds nothing has worked. can provide solution error? example data here: structure(list(species_1 = c(68.75, 51.4583333333333, 67.1666666666667, 36.3333333333333, 37.1666666666667, 45, 34.25, 20.9583333333333, 41.75, 85.7272727272727, 63.5, 27.1666666666667, 59.5, 76.75, 50.1666666666667, 35.25, 42), species_2 = c(21.3333333333333, 26.2916666666667, 32.7083333333333, 36.6666666666667, 26.25, 24.7...

i trying export 1 table aquastudio csv file. table has approximately 4.4 million rows. when trying use export window function in aqua studio, facing following error: error: error: current transaction aborted, commands ignored until end of transaction block i not understanding problem is. read few articles regarding error , found happening due error in last postgresql command. did not use sql commands export , dont know how debug this. unable view log files. you shouldn't exporting millions of rows through jdbc/odbc connection, redshift. for redshift, please use unload command documented here . you'll have unload file s3 , download there. for postgres, use copy to documented here .

i want return names of these 3 players (in url).. current code returns name, team, , basketball association. there can specify in code return names? data scraping here : import requests bs4 import beautifulsoup def bball_spider(str): source_code = requests.get(str) plain_text = source_code.text soup = beautifulsoup(plain_text, "html.parser") # players elements in soup.find('table' , {'id' : 'stats'}).findall('a'): names = elements.string print(names) str = input("enter query result url ") bball_spider(str) you there, first let me mention since seems new python: shouldn't name variable str , because shadows built-in str class, that's modified in code shown below. important modification changed .findall('a') .findall('td',{'class':'left active'}) , inspecting element can see names of players in <td> tag class left active . changed iterating ...

js uses hash table access elements of array. slower method of accessing array elements in c++ or c# languages? var arr=[]; arr[0]=23; arr[1]=12; arr['2tr5']=54; is algorithm accesses elements of array in js same hashtable in c++ or c#? how can speed access elements directly , why doesn't js use dense array fast access elements.