Same as title. How convert git_tree_entry to git_tree in libgit2?
if ((error = git_tree_entry_bypath(&source_tree_entry, root_tree, path)) < 0)
return GIT_ENOTFOUND;
// How convert source_tree_entry to tree here?
entries_count = git_tree_entrycount(tree);
You don't convert it, you ask for the tree you want. The tree entry tells you its name, mode and id. If you want that tree, you look it up.
git_tree_lookup(&tree, repo, git_tree_entry_id(tree_entry))
Related
I want to decode the string while transforming the data from Active Directory to OpenIDM. Sync between the system is alright but one of the attribute have base64 encoded string.
I want to transform the property before persisting it into managed user object.
Anyone have any idea how can I achieve it. I tried few javascript ways but no success.
Finally I was able to achieve the decoding of the string using below transformation
if (source != null)
{
var base64 = Packages.org.forgerock.util.encode.Base64url
b64tO = new Packages.java.lang.String(base64.decode(source));
logger.info("Decoded: {}", b64tO);
target = b64tO;
}
Hope it help someone !!!
I'm trying to use PDI to read data from an API (json) and now I'm simply trying to use json input to get a few specific fields but the get fields button on the input step gives me.
ERROR (version 8.3.0.0-371, build 8.3.0.0-371 from 2019-06-11 11.09.08 by buildguy) : Index 1 out of bounds for length 1
all the steps execute fine, and produce data - just not the json input step doesn't wnat to give me the fields option! - I've tired the text file and json oput and both write valid json so IDK whats going on....
PS. this is my first time using PDI
ISSUE 2:
It looks like PDI uses jayway for its json path parsing so I've been using this site https://jsonpath.herokuapp.com/ jayway selection which gives me my expected path. When I put that into the 'fields' of the json input dialog I only get the FIRST instance of that path value vs it actually parsing the json and giving me every instance, and can't figure out why though I assume it has something to do with PDI's row based view on things but I also don't know how to get it to understand that its json and it should be giving me back all values that match that path.
UPDATE 1:
I've been looking at this https://forums.pentaho.com/threads/135882-Parsing-JSON-data-without-knowing-field-names/ it seems like this Modified Java Script Value step might be the way to go. Will continue testing.
UPDATE 2
OK - Used the MJSV as posted above along with a select fields step and finally able to get the key's
var obj = JSON.parse(mydata);
var keys = Object.keys(obj);
for (var i = 0; i < Object.keys(obj).length; i++) {
var row = createRowCopy(getOutputRowMeta().size());
var idx = getInputRowMeta().size();
row[idx++] = keys[i];
putRow(row);
}
trans_Status = SKIP_TRANSFORMATION;
Can anyone help me solve this case?
I have much file to process, two of them is like on below screenshot with my expected output.
I use this transformation on Talend: tFileList---tInputExcel---tUnpivotRow---tMap---tPostgresqlOutput
The output is different to my expected output. This is the screenshot of the output
Can anyone help me to reach my expected output which is like on my first picture above?
This will be pretty hard. You'd have to handle that as a text file. And whenever you found "store" value in the first column you'd update your type with the value.
Here's how I'd start:
Basically tJavaFlex begin piece would contain:
String col1Type
String colNType
main part:
if input_row.col0.equalsIgnoreCase("store") {
col1Type = input_row.col1;
col2Type = input_row.col2;
colNType = input_row.colN;
continue; /*(so this record will be Ignored for the rest of the components!)*/
}
output_row.col1Type = col1Type;
output_row.col1Value = Integer.valueOf(input_row.col1);
/*coz we have text and need numbers :( */
I think using propagate results will save you from writing down all the other fields.
And from here it would be very simple as you have key-type-value-type-value-type-value results.
I have an Excel file in which are given more then 2000 organisms, where each one of them has a Bioproject ID associated (like PRJNA12997). The idea is to use these IDs to get the sequence for a later multiple alignment with other five sequences that I have in a text file.
Can anyone help me understand how I can do this using biopython? At least the part with the bioproject ID.
You can first get the info using Bio.Entrez:
from Bio import Entrez
Entrez.email = "Your.Name.Here#example.org"
# This call to efetch fails sometimes with a 400 error.
handle = Entrez.efetch(db="bioproject", id="PRJNA12997")
I've been trying, and Entrez.read(handle) doesn't seems to work. But if you do record_xml = handle.read() you'll get the XML entry for this record. In this XML you can get the ID for the organism, in this case 12997.
handle = Entrez.esearch(db="nuccore", term="12997[BioProject]")
search_results = Entrez.read(handle)
Now you can efecth from your search results. At this point you should use Biopython to parse whatever you will get in the efetch step, playing with the rettype http://www.ncbi.nlm.nih.gov/books/NBK25499/table/chapter4.T._valid_values_of__retmode_and/
for result in search_results["IdList"]:
entry = Entrez.efetch(db="nuccore", id=result, rettype="fasta")
this_seq_in_fasta = entry.read()
i would like to read some images with scilab and i use the function imread like this
im01=imread('kodim01t.jpg');
im02=imread('kodim02t.jpg');
im03=imread('kodim03t.jpg');
im04=imread('kodim04t.jpg');
im05=imread('kodim05t.jpg');
im06=imread('kodim06t.jpg');
im07=imread('kodim07t.jpg');
im08=imread('kodim08t.jpg');
im09=imread('kodim09t.jpg');
im10=imread('kodim10t.jpg');
i would like to know if there is a way to do something like below in order to optimize the
for i = 1:5
im&i=imread('kodim0&i.jpg');
end
thanks in advance
I see two possible solutions using execstr or using some kind of list/matrix
Execstr
First create a string of the command to execute with msprintf and then execute this with execstr. Note that in the msprintf conversion the right amount of leading zeros are inserted by %0d format specifier descbribed here.
for i = 1:5
cmd=msprintf('im%d=imread(\'kodim%02d.jpg\');', i, i);
execstr(cmd);
end
List/Matrix
This is probably the more intuitive option using a indexable container such as list.
// This list could be generated using msprintf from example above
file_names_list = list("kodim01t.jpg", "kodim02t.jpg" ,"kodim03t.jpg");
// Create empty list to contain images
opened_images = list();
for i=1:length(file_names_list)
// Open image and insert it at end of list
opened_images($+1) = imread(file_names_list[i]);
end