Dear Gretl Team,
I'm not sure if all the following strings has to be marked for
translation, but please take a look at them:
"variable 8 (explicativas): non-numeric values = 200 (100,00 percent)"
"allocating string table"
"LHS vector should be of length 146, is 145" (it appears when use gretlcli)
"nls_genr_setup failed" (it appears when use gretlcli)
"array of strings, length 384" (it appears inside a created bundle -
I'm not sure if we should mark this for translation)
"matrix: 384 x 4" (it appears inside a created bundle - I'm not sure
if we should mark this for translation)
"kalman: obsymat is 6 x 6, should be 1 x 6" (it appears on a Kalman
filter context)
"Kalman input matrices" (it appears inside a Kalman bundle)
"Kalman output matrices" (it appears inside a Kalman bundle)
"Kalman scalars" (it appears inside a Kalman bundle)
To get a better understanding about the real impact of some of that
untranslated strings, take a look at the output of that "open" command
using Gretl on a pt_BR environment:
open
http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv
We get some more untranslated strings:
interpretando
C:\Users\Henrique\AppData\Roaming\gretl\Sacramentorealestatetransactions.csv...
usando o delimitador ','
maior linha: 127 caracteres
primeiro campo: 'street'
número de colunas = 12
número de variáveis: 12
número de linhas não-vazias: 986
procurando nomes de variáveis...
linha: street,city,zip,state,beds,baths,sq__ft,type,sale_date,price,latitude,longitude
procurando rótulos de linhas e dados…
variable 1 (street): non-numeric values = 985 (100.00 percent)
variable 2 (city): non-numeric values = 985 (100.00 percent)
variable 4 (state): non-numeric values = 985 (100.00 percent)
variable 8 (type): non-numeric values = 985 (100.00 percent)
variable 9 (sale_date): non-numeric values = 985 (100.00 percent)
allocating string table
tratando estes como sendo dados sem data
Best regards,
Henrique Andrade