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How to compute the overall mean for several files in R?


How to compute the overall mean for several files in R?

By : BENNYT
Date : November 22 2020, 03:03 PM
seems to work fine Here are two methods I can think of:
1) Using a for loop (memory efficient):
code :
sum.dat <- rep(0, 810438)
sum.pos <- rep(0, 810438)
for (.file in dir1) {
   dat <- readBin(.file, numeric(), size = 4, n = 700*500, signed = TRUE)
   pos <- dat >= 0
   sum.dat <- sum.dat + dat * pos
   sum.pos <- sum.pos + pos
}
mean.dat <- sum.dat / sum.pos
dats <- vapply(dir1, readBin, FUN.VALUE = numeric(810438),
               what = numeric(), size = 4, n = 700*500, signed = TRUE)
mean.dat <- rowmeans(ifelse(dats >= 0, dats, NA), na.rm = TRUE)


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`gcloud compute copy-files`: permission denied when copying files

`gcloud compute copy-files`: permission denied when copying files


By : user2983408
Date : March 29 2020, 07:55 AM
wish helps you I'm having a hard time copying files over to my Google Compute Engine. I am using an Ubuntu server on Google Compute Engine. , insert root@ before the instance name:
code :
local:$ gcloud compute copy-files /Users/Bryan/Documents/Websites/gce/index.php root@example-instance:/var/www/html --zone us-central1-a
"gcloud compute ssh" and "gcloud compute copy-files" return code propagation

"gcloud compute ssh" and "gcloud compute copy-files" return code propagation


By : AkDS Rajput Singh
Date : March 29 2020, 07:55 AM
To fix the issue you can do It appears as though copy-files does ignore the return code of scp. I've filed an internal feature request to propagate it correctly (gcloud compute ssh does pass through the return code).
In the meantime, you can use the --dry-run flag with gcloud compute ssh and gcloud compute copy-files to see the equivalent scp/ssh command lines, and call those directly.
gcloud compute copy-files succeeds but no files appear

gcloud compute copy-files succeeds but no files appear


By : R.b. Shrestha
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , Short answer
Most likely, you're looking into the wrong $HOME. Make sure you're looking in the home directory of the same user you're copying from (it will be created on the remote host if it didn't previously exist).
code :
# $CLOUD_SDK_ROOT/lib/surface/compute/copy_files.py

# [...]

user_host, file_path = arg.split(':', 1)
user_host_parts = user_host.split('@', 1)
if len(user_host_parts) == 1:
    user = ssh_utils.GetDefaultSshUsername(warn_on_account_user=True)
    instance = user_host_parts[0]
else:
    user, instance = user_host_parts

# [...]
# $CLOUD_SDK_ROOT/lib/googlecloudsdk/api_lib/compute/ssh_utils.py

def GetDefaultSshUsername(warn_on_account_user=False):
    # [...]
    user = getpass.getuser()
    if not _IsValidSshUsername(user):
        full_account = properties.VALUES.core.account.Get(required=True)
        account_user = gaia_utils.MapGaiaEmailToDefaultAccountName(full_account)
        if warn_on_account_user:
            log.warn('Invalid characters in local username [{0}]. '
                     'Using username corresponding to active account: [{1}]'.format(user, account_user))
        user = account_user
    return user
trying to calculate compute salary , compute deduction and compute net pay using abstract class in c#

trying to calculate compute salary , compute deduction and compute net pay using abstract class in c#


By : user7317575
Date : March 29 2020, 07:55 AM
seems to work fine As John Wu pointed out, it ends up in an infinite loop since you invoke the calculatesalary() method in the sample1 class recursively. Using base.calculatesalary() will invoke the base method and then perform additional logic in the derived class. Modify your your method as follows:
code :
public override double calculatesalary()
    {
        var salary = base.calculatesalary();

        if (salary <= 10000)
        {
            Deduction = 0.11;
        }
        else if (salary >= 10001 && salary <= 20000)
        {
            Deduction = 0.22;
        }
        else if (salary >= 20001 && salary <= 30000)
        {
            Deduction = 0.34;
        }
        else if (salary >= 30001)
        {
            Deduction = 0.58;
        }

        return salary * Deduction;
    }
Compute the similarity between two txt.files

Compute the similarity between two txt.files


By : Swiper NoSwiping
Date : March 29 2020, 07:55 AM
Any of those help A simple solution would be, after having read the files and split them into words, to just cycle through them, first assigning them to a dictionary to count the number of occurences per file, then calculate the relative ratios, check which words appear in both and compute the final rate:
code :
temp1 = open('yourfile1.txt')
file1 = temp1.read().split(',')
temp1.close()
temp2 = open('yourfile2.txt')
file2 = temp2.read.split(',')
dict1 = {x : file1.count(x) for x in file1}
dict2 = {x : file2.count(x) for x in file2}
similars = set(file1).intersection(set(file2))
rate1 = sum(dict1[w] for w in similars)/len(file1)
rate2 = sum(dict2[w] for w in similars)/len(file2)
print("The rate of similarity is: ", rate1*rate2*100, '%')
print("The similar words are: ", similars)
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