Suggest creating custom file names for modified SRC files. Highly suggest not using existing default AutoPIPE library file names for modified LIB files, as this will only cause problems when the model is opened by a version of AutoPIPE that does not have this modified file. Matches the empty string at the beginning of a line also represents the characters not in the. Again, suggest using a copy of the original file, when making modifications.ģ. Regex to replace multiple spaces with a single space. any extra spaces, extra rows, information pushed into the wrong column, etc.).Ģ. Basically any mistake made in an SRC file and it will not work (i.e. Again, the person modifying the SRC files MUST follow the existing formatting of the file. 2 spaces) to maintain column alignmentĪfter making these 3 fixes to the file it was able to be compiled into a LIB file without any issue.ġ. Fix problem by removing tab characters and replacing with appropriate number of spaces (ex. Noticed that the Tab characters were used instead of spaces. However, use feature to display spaces, tabs and new line characters as visible characters on the screen. It can also delete all extra tab spaces Copy and. Tab character was used instead of a space. White Space Remover-This tool eliminates multiple whitespaces and replaces them with a single whitespace. When adding a new material at end of the listing in the SPEC table just before the WELD table, an extra blank line was present. This issue occurred in both the Spec Table and Matl Table, Line 2008 also had the "*' removed from the first column on this line. Therefore, remove the astric from line 5160, because material on line 5190 is the last material in the table. Can anybody tell me where is the problem Code: Select all. Unfortunately following script doesn't work. On lines 51, the fist character is an "*", an astric should only proceed the name of the last material for a given table. I try to delete all empty lines in an active document. Note: Suggest using a copy of the original SRC file when making modifications, so comparisons can be reviewed for trouble shooting issues. This process highlighted all the difference between the 2 files. In order to find these mistakes, an original copy of B311-14.SRC was compared to the user's modified version B311mod.src with a computer program (i.e UltraEdit, Ultra compare, WinMerge, etc.). In one particular case this issue was caused when the person modifying the material library added a new entry in both tables 1 and 2, but did not follow the general format. separate( Names, into = c( "n_1", "n_2", "n_3", "n_4", "n_5", "n_6", "n_7", "n_8", "n_9"), extra = "drop", fill = "right", sep = "", remove = FALSE ) %>% # remove extra spaces for all the newly created variables mutate( across( starts_with( "n_"), ~ str_trim(.The following message is displayed when creating / modifying a material library in AutoPIPE:Įnter source File name without extension (.src): # mine new columns are enough to hold the drugs with MANY synonyms. I left them the way they are) easy_nochanges % slice( - 6, - 58, - 64, - 79, - 80, - 120, - 247, - 274, - 328, - 376, - 378, - 422, - 423) # bind rows that required a comma change and rows that didn't # now the data is ready to be split by comma synonyms_easy_prep % # move the comma separated names into their own columns. Matches the empty string at the beginning of a line. # filtered rows where synonyms are NOT "difficult" easy % filter(difficult %in% c( FALSE, NA)) # made the comma replacements and created a dataset for each type of # transformation, with the final result being a comma # change semicolon to comma semi_is_gone % slice( 6, 64, 80, 378) %>% mutate( Names = str_replace_all(Names, " ", ",")) # replace "and" with comma and_is_gone % slice( 79, 120, 247, 274, 422, 423) %>% mutate( Names = str_replace_all(Names, " and", ",")) # remove the phrase involving ecstasy ecstasy_is_gone % slice( 58) %>% mutate( Names = str_remove_all(Names, " has been sold as Ecstasy, i.e.")) # remove comma after synonym extra_comma_is_gone % slice( 376) %>% mutate( Names = str_remove_all(Names, ",")) # replace "or" with comma or_is_gone % slice( 328) %>% mutate( Names = str_replace_all(Names, " or", ",")) # dataset of rows that did NOT require a comma change # (i.e. I am trying to remove the first character of each line on a block of text.
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