Xiang | A port of the open source Chinese Chess engine | iOS library
kandi X-RAY | Xiang Summary
kandi X-RAY | Xiang Summary
Xiang is a port of the open source Chinese Chess engine "ElephantEye" to iOS. More information about ElephantEye can be found on xqbase.com.
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QUESTION
I am trying to output hierarchical JSON from a SQL Server database for a company org chart.
I would like to display the data in something like https://github.com/dabeng/OrgChart.
I have been able to build a query that outputs the hierarchy into a flat table as follows:
I was able to achieve what I wanted by using FOR JSON PATH but this will only really give me the data I need to a single level of hierarchy.
Would anyone know how to have multiple levels of hierarchy outputted from T-SQL to give me something like the following output:
...ANSWER
Answered 2021-Apr-03 at 15:59I was able to find a very good article that helped me to achieve what I needed to do. It is not the fastest solution but it works Representing a simple hierarchical list in SQL
This Microsoft guide was also very helpful: Hierarchical Structure
With both these guides I was able to build something that works, I still need to clean up the code but here is what I ended up with in case this helps anyone else out there.
QUESTION
Under a folder, I have many .gz files and within these gz files some are .txt, some are .csv, some are .xml, or some other extensions.
E.g. gz (the original/compressed file in()) files in the folder will be
...ANSWER
Answered 2021-Feb-11 at 15:21import gzip
import os
INPUT_DIRECTORY = 'C:\Xiang'
OUTPUT_DIRECTORY = 'C:\UnZipGz'
GZIP_EXTENSION = '.gz'
def make_output_path(output_directory, zipped_name):
""" Generate a path to write the unzipped file to.
:param str output_directory: Directory to place the file in
:param str zipped_name: Name of the zipped file
:return str:
"""
name_without_gzip_extension = zipped_name[:-len(GZIP_EXTENSION)]
return os.path.join(output_directory, name_without_gzip_extension)
for file in os.scandir(INPUT_DIRECTORY):
if not file.name.lower().endswith(GZIP_EXTENSION):
continue
output_path = make_output_path(OUTPUT_DIRECTORY, file.name)
print('Decompressing', file.path, 'to', output_path)
with gzip.open(file.path, 'rb') as file:
with open(output_path, 'wb') as output_file:
output_file.write(file.read())
QUESTION
I am trying to produce a table within my Rmd that includes references. This sits within a manuscript that will contain these and other references. Within the manuscript I'm able to use [@xxxx] ok. I tried this as a column in the table and using the gt
, Datatable
and Flextable
packages with no success.
This is what my Rmd looks like
...ANSWER
Answered 2021-Jan-27 at 20:14ftExtra
may be solution here:
QUESTION
I have folders with many many files (e.g. over 100k), some files small (less than 1kb) and some files big (e.g. several MBs).
I would like to use pyspark and scan all the files under these folders, e.g. "C:\Xiang". The file names are, for example, Folder 1:
...ANSWER
Answered 2020-Dec-16 at 12:53Use pathlib
to get the last modified time and map onto your rdd of file names:
QUESTION
Im having trouble reading data from a file. The error that i receive is:
...ANSWER
Answered 2020-Sep-15 at 18:47A few little things need to be changed in your code. Below is your code with my corrections. Explanations after the code.
QUESTION
I have an csv file that contains an organization hierarchy data, one of the fields is the id of that employee's subordinates' ids.
The csv file is something looking like this:
...ANSWER
Answered 2020-Jul-23 at 09:05I created the following code snippet with the help of this link, this solution may help you.
QUESTION
This is related to my previous question. Thanks to those who are helping me. I tried loading my app and not only my ListView is empty when I run it on the simulator, but also I get error trying to parse my json. I used the methods from my previous question, and the list with just the names were working well. However, when I used NavigationView and NavigationLink, my lists suddenly disappear when I ran on the simulator. My goal is to create a list of languages with each row having sentences as details. Here are the codes (Edit, @nuke1010's code works, but I am facing another problem)
1. The code I'm trying to run
...ANSWER
Answered 2020-May-01 at 06:47Edit: For the updated JSON in question, adding a nested NavigationView can help display all data.
QUESTION
I can't seem to parse my local JSON file that I created for a simple app idea in SwiftUI, and I'm new to app development. I tried some methods but it didn't work. Trying to figure out anything I miss in parsing and making it into ListView. What do I want to do is to parse the language and the sentence, and in this instance, the sentence in my 3 objects contains different amounts of sentences I want to parse, like sentence1, sentence1b, etc. (Edit: Showing you two different code errors and the Json snippet)
- JSON File Snippet
ANSWER
Answered 2020-Apr-29 at 16:18You need to parse first
QUESTION
Thanks for looking. I am trying to train a custom Named Entity Recognizer, using code from Spacy's website. My problem is that after I run my examples through the trainer, it returns the tokens, but no entities. Here are my examples, saved in the variable to_train_ents
:
ANSWER
Answered 2020-Jan-12 at 15:36The problem is with the start and end character indices in your training data. Zero-based numbering must be used and not 1-based numbering.
With zero-based numbering the index of the first character in a string is 0, the index of the second character is 1, etc ..
The following code shows that you offsets are using 1-based numbering
QUESTION
I followed the tutorial, I created a folder $AIRFLOW_HOME/dags, and put the tutorial DAG python file there. I then start the airflow scheduler. By default it is paused. But if I look at the output of airflow scheduler, I saw lot of runs, trying to create the DAGs. Why it keeps running?
...ANSWER
Answered 2019-Oct-20 at 08:05The scheduler will "heartbeat" your dag files based on the contents of your airflow.cfg
. The two settings that probably most relevant to this are:
min_file_process_interval: How many seconds to wait between file-parsing loops to prevent the logs from being spammed.
scheduler_heartbeat_sec: The scheduler constantly tries to trigger new tasks (look at the scheduler section in the docs for more information). This defines how often the scheduler should run (in seconds).
Consider changing these if you are only running a few DAGs with tasks that are not run very often.
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