Trying to specify result-document as below:
<xsl:result-document href="{$folderName}Dev.json" method="text">
In NodeJS, Getting error:
Writing to ./Dev.json Transformation failure: Error FORG0001 at dl2tm.xsl#27 writeFile('./Dev.json'): expected URL
What is the proper way to specify the output file to avoid this error?
Make sure that the transformation has a known base output URI, by specifying the -o option on the command line, or by supplying the baseOutputURI option in the transform() parameters when invoking the transformation.
Related
I am facing an odd issue where my lookup is returning a filenotfound error when I use a wildcard path. If I specify and exact file path, the lookup runs without error. However, if I replace the filename with a *, I get a filenotfound error.
The file is Data_643.json, located in my Azure Data Lake Storage Gen2, under the labournavigatorfile system. The exact file path is:
labournavigatorfile/raw_data/Scraped/HeadHunter/Saudi_Arabia/Data_643.json.
If I put this exact path into the Integration dataset configuration, the pipeline runs without issue. However, as soon as I replace the 'Data_643.json' with a '*', the pipeline crashes with a filenotfound error.
What am I doing wrong? Many Thanks for any support. This must be something very simple that I am missing.
Exact path works:
Wildcrad path throws error:
I have 3 files in my container as file1.json, file2.json, file3.json as shown below:
The following is how I configured my dataset to read using wildcard with configuration same as in the image provided in the question.
When I used this in lookup I got the same error:
To overcome this, go to your lookup activity. When you want to use wildcards to read a file/files, check the wildcard file path option. Then specify the folder structure and use wildcard where required. The following is an image for reference.
The following is the debug output when I run the pipeline (Each of my files had 10 rows):
I'm currently looking for a way to execute iverilog in in Yosys, to be more exact at the write_verilog step.
I need to feed iverilog the file, which will be generated by write_verilog (reason is, I need to uphold the variable source information, which are kept in the yosys attributes).
However the execute() function only writes into the file upon function end.
If I were to call iverlog testbench.v design.v with design.v being the file which is generated through write_verilog, I get an error, telling me it's missing modules.
Is it possible to carry out commands, that depend on the file which is generated after execute() has run through, while still being in the verilog backend?
You could use a script instead, to run iverilog after write_verilog, inside a Yosys script a line beginning ! is passed to the shell:
write_verilog design.v
!iverilog testbench.v design.v
The video tutorial in http://www.kframework.org/index.php/Lesson_4,_LAMBDA:_Generating_Documentation;_Latex_Attributes suggests that we should use kompile lambda --pdf, but when I run it I got the following error:
[Error] Critical: Unknown option: --pdf (Unknown option: --pdf)
The kdoc --help option also result in a Command 'kdoc' not found error.
How do I correctly use this option to generate the formatted K definition?
The kdoc functionality (and --pdf) has not worked for quite some time.
If you want LaTeX ASTs output for given individual terms, you can use --output latex for any of kast, krun, or kprove. Unfortunately this does not work for entire definitions yet, and will not auto-format for you (it only outputs an AST, you'll still need to tell LaTeX how to render the nodes in said AST).
We are using Python-Sphinx to build our end user manuals.
In order to automatically convert our assorted graphic file formats like we are using the Sphinx Extension sphinx.ext.imgconverter, which utilizes ImageMagick to convert our graphic file formats to graphic formats, which the given build target can understand.
For detailed information see: sphinx.ext.imgconverter
Unfortunately, the output of the converted images does not satisfy our needs. A main issue is the low resolution of the converted images, which gives pixelated outcomes.
Therefore I included the following line to my conf.py:
image_converter_args=["-density 300"]
Now, the build process fails and leaves me with the following error message.
Extension error:
convert exited with error:
[stderr]
magick.exe: unrecognized option `-density 300' at CLI arg 1 # fatal/magick-cli.c/ProcessCommandOptions/428.
Can someone please help me?
The arguments should be a list.
image_converter_args=["-density", "300"]
Where "-density" is the operator argument, and "300" is the value argument.
I am using HCatalog's WebHCat API to run Pig jobs, such as documented here:
https://cwiki.apache.org/confluence/display/Hive/WebHCat+Reference+Pig
I have no problem running a simple job but I would like to attach a parameters file to the job, such as one can do using pig command line's parameter: --param_file .
I assume this is possible through arg request's parameter, so I tried multiple things, such as passing:
'arg': '-param_file /path/to/param.file'
or:
'arg': {'param_file': '/path/to/param.file'}
None seems to work, and error stacks don't say much.
I would love to know if this is possible, and if so, how to correctly achieve this.
Many thanks
Correct usage:
'arg': ['-param_file', '/path/to/param.file']
Explanation:
By passing the value in arg,
'arg': {'-param_file': '/path/to/param.file'}
webhcat generates "-param_file" for the command prompt.
Pig throws the following error
ERROR org.apache.pig.Main - ERROR 2999: Unexpected internal error. Can not create a Path from a null string
Using a comma instead of the colon operator passes the path to file as a second argument.
webhcat will generate "-param_file" "/path/to/param.file"
P.S: I am using Requests library on python to make the REST calls