The filename is currently filename.dto.ts
I'm trying to transform filename.dto.ts to FilenameInput or FilenameOutput
However, it seems this is not a way to select the second group using regex.
How can I properly select the second regex group and transform it?
export class ${TM_FILENAME_BASE/^(.)|(.dto)$/${1:/upcase}$2/}Input {}
export class ${TM_FILENAME_BASE/(.dto)//}Output {}`
Try this:
export class ${TM_FILENAME_BASE/^([^.]*).*/${1:/pascalcase}$2/}Input {}"
Your first capture group is everything up to the first ..
Then you need to match everything else .* will match .dto (and don't replace it with anything since you don't want it in your result).
You do not need a second capture group but the previous version I showed did have a capture group 2 (but it wasn't transformed) and it looked like:
export class ${TM_FILENAME_BASE/^(.)([^.]*).*/${1:/upcase}$2/}Input {}
Related
The following lines of Q code all throw an error, because when the statement "local" is parsed, the local variable is not in the correct scope.
{local:1; value "local"}[]
{[local]; value "local"}[1]
{local:1; eval parse "local"}[]
{[local]; eval parse "local"}[1]
Is there a way to reach the local variable from inside the parsed string?
Note: This is a simplification of the actual problem I'm grappling with, which is to write a function that executes a query, accepting a list of columns which it should return. I imagine the finished product looking something like this:
getData:{[requiredColumns, condition]
value "select ",(", " sv string[requiredColumns])," from myTable where someCol=condition"
}
The condition parameter in this query is the one that isn’t recognised and I do realise I could append it’s value rather than reference it inside a string, but the real query uses lots of local variables including tables etc, so it’s not as easy as just pulling all the variables out of the string before calling value on it.
I'm new to KDB and Q, so if anyone has a better way to achieve the same effect I'm happy to be schooled on the proper way to achieve this outcome in Q. Would still be interested to know in the variable access thing is possible though.
In the first example, you are right that local is not within the correct scope, as value is looking for the global variable local.
One way to get around this is to use a namespace, which will define the variable globally, but can only be accessed by calling that namespace. In the modified example below I have defined local in the .ns namespace
{.ns.local:1; value ".ns.local"}[]
For the problem you are facing with selecting, if requiredColumns is a symbol list of columns you can just use the take operator # to select them.
getData:{[requiredColumns] requiredColumns#myTable}
For more advanced queries using variables you may have to use functional select form, explained here. This will allow you to include variables in the where and by clause of the select statement
The same example in functional form would be (no by clause, only select and where):
getData:{[requiredColumns;condition] requiredColumns:(), requiredColumns;
?[myTable;enlist (=;`someCol;condition);0b;requiredColumns!requiredColumns]}
The first line ensures that requiredColumns is a list even if the user enters a single column name
value will look for a variable in the global scope that's why you are getting an error. You can directly use local variables like you are doing that in your function.
Your function is mostly correct, just need a slight correction to append condition(I have mentioned that below). However, a better approach would be to use functional select in this case.
Using functional select:
q) t:([]id:`a`b; val:3 4)
q) gd: {?[`t;enlist (=;`val;y);0b;((),x)!(),x]}
q) gd[`id;3] / for single column
Output:
id
-
1
q) gd[`id`val;3] / for multiple columns
In case your condition column is of type symbol, then enlist your condition value like:
q) gd: {?[`t;enlist (=;`id;y);0b;((),x)!(),x]}
q) gd[`id;enlist `a]
You can use parse to get a functional form of qsql queries:
q) parse " select id,val from t where id=`a"
?
`t
,,(=;`id;,`a)
0b
`id`val!`id`val
Using String concat(your function):
q)getData:{[requiredColumns;condition] value "select ",(", " sv string[requiredColumns])," from t where id=", .Q.s1 condition}
q) getData[enlist `id;`a] / for single column
q) getData[`id`val;`a] / for multi columns
I am trying to programmatically construct arguments to functional select call having the form:
?[ `t; () ; groupBy; ()]
The problematic part is groupBy, which should be a dictionary.
Suppose the objective is to arrive at the parse tree in the form:
parse "select by sym,month:`date$dt.month from t"
I start constructing the by part with:
groupBy: enlist[`sym]!enlist(`sym)
Then I try to append the month part of the group by statement (note that periodicity is parameterised):
per: `month / monthly periodicity
groupBy,: {enlist[x]!enlist[ $[x = `day;
`dt;
$[x=`month;
((parse "select by month:`date$dt.month from x")#3)#`month
;` sv (`dt,x)]
]]
}[per]
However, that throws type error. What goes wrong?
I think it doesn't like the compound assignment
groupBy,:{...}
Try
groupBy:groupBy,{...}
The difference is that in the first case it's trying to directly alter the data in memory without creating a copy, whereas in the second case it is creating a copy of the data in memory and then re-assigning it to that variable. Perhaps the compound assignment only works when the types are uniform
I have one of jmeter User defined variable as a "comma separated value" - ${countries} = IN,US,CA,ALL .
(I was first trying to get it as a list/array - [IN,US,CA,ALL] )
I want to use the variable to test a web service - GET /${country}/info . IS it possible using ForEach controller or Loop controller ?
Only thing is that I want to save it or read it as IN,US,..,ALL and use it in the request path.
Thanks
The CSV should be as per the format mentioned in the image attached.
Refer to the link on how to use CSV in Jmeter: http://ivetetecedor.com/how-to-use-a-csv-file-with-jmeter/
Thread Group Settings
No. of threads: 1
Ramp-up period: 1
Loop Count: 4
Hope this will help.
CSV config is a red herring, you don't need it.
You can use a regular expression extractor to split up the variable into another variable (eg MyVar), using something like:
(.+?)[,\n]
This is trying to match each item before a , or newline. It will place the values in variables like MyVar_1, MyVar_2, etc. This is as close to an array as JMeter understands natively.
You can then loop on the contents of the matches using MyVar_matchNr, and MyVar_1 to MyVar_n (you will need to use __V() function to access the 'array' contents.
I new to pandas and trying to learn how to work with it. Im having a problem when trying to use an example I saw in one of wes videos and notebooks on my data. I have a csv file that looks like this:
filePath,vp,score
E:\Audio\7168965711_5601_4.wav,Cust_9709495726,-2
E:\Audio\7168965711_5601_4.wav,Cust_9708568031,-80
E:\Audio\7168965711_5601_4.wav,Cust_9702445777,-2
E:\Audio\7168965711_5601_4.wav,Cust_7023544759,-35
E:\Audio\7168965711_5601_4.wav,Cust_9702229339,-77
E:\Audio\7168965711_5601_4.wav,Cust_9513243289,25
E:\Audio\7168965711_5601_4.wav,Cust_2102513187,18
E:\Audio\7168965711_5601_4.wav,Cust_6625625104,-56
E:\Audio\7168965711_5601_4.wav,Cust_6073165338,-40
E:\Audio\7168965711_5601_4.wav,Cust_5105831247,-30
E:\Audio\7168965711_5601_4.wav,Cust_9513082770,-55
E:\Audio\7168965711_5601_4.wav,Cust_5753907026,-79
E:\Audio\7168965711_5601_4.wav,Cust_7403410322,11
E:\Audio\7168965711_5601_4.wav,Cust_4062144116,-70
I loading it to a data frame and the group it by "filePath" and "vp", the code is:
res = df.groupby(['filePath','vp']).size()
res.index
and the output is:
[E:\Audio\7168965711_5601_4.wav Cust_2102513187,
Cust_4062144116, Cust_5105831247,
Cust_5753907026, Cust_6073165338,
Cust_6625625104, Cust_7023544759,
Cust_7403410322, Cust_9513082770,
Cust_9513243289, Cust_9702229339,
Cust_9702445777, Cust_9708568031,
Cust_9709495726]
Now Im trying to approach the index like a dict, as i saw in examples, but when im doing
res['Cust_4062144116']
I get an error:
KeyError: 'Cust_4062144116'
I do succeed to get a result when im putting the filepath, but as i understand and saw in previouse examples i should be able to use the vp keys as well, isnt is so?
Sorry if its a trivial one, i just cant understand why it is working in one example but not in the other.
Rutger you are not correct. It is possible to "partial" index a multiIndex series. I simply did it the wrong way.
The index first level is the file name (e.g. E:\Audio\7168965711_5601_4.wav above) and the second level is vp. Meaning, for each file name i have multiple vps.
Now, this is correct:
res['E:\Audio\7168965711_5601_4.wav]
and will return:
Cust_2102513187 2
Cust_4062144116 8
....
but trying to index by the inner index (the Cust_ indexes) will fail.
You groupby two columns and therefore get a MultiIndex in return. This means you also have to slice using those to columns, not with a single index value.
Your .size() on the groupby object converts it into a Series. If you force it in a DataFrame you can use the .xs method to slice a single level:
res = pd.DataFrame(df.groupby(['filePath','vp']).size())
res.xs('Cust_4062144116', level=1)
That works. If you want to keep it as a series, boolean indexing can help, something like:
res[res.index.get_level_values(1) == 'Cust_4062144116']
The last option is a bit less readable, but sometimes also more flexibile, you could test for multiple values at once for example:
res[res.index.get_level_values(1).isin(['Cust_4062144116', 'Cust_6073165338'])]
I have a PartitionScanner that extends RuleBasedPartitionScanner in my custom text editor plugin for Eclipse. I am having issues with the partition scanner detecting character sequences within larger strings, resulting in document being partitioned incorrectly. For example, within the constructor of m partition scanner I have following rule set-up:
public MyPartitionScanner() {
...
rules.add(new MultiLineRule("SET", "ENDSET", mytoken));
...
}
However, if I happen to use a token that contains the character sequence "SET," it seems like partition scanner would continue searching for endSequence("ENDSET") and will make the rest of the document as single partition set to "mytoken."
var myRESULTSET34 = ...
Is there a way to make the partition scanner ignore the word "SET" from the token above? And only recognize the whole word "SET"?
Thank you.
Using the MultilineRule as is, you won't be able to differentiate. But you can create your own subclass that overrides sequenceDetected and does a lookback/lookahead when the super impl returns true, to make sure that it's preceded/followed by EOF/whitespace. If it doesn't, then push back the characters onto the scanner and return false.