Sink | Game Framework built on top of libgdx | Game Engine library
kandi X-RAY | Sink Summary
kandi X-RAY | Sink Summary
writing error free setup code etc. It consists of Scenes and has a SceneManager to control which scenes are to displayed when. It also has Scene, SceneGroup, SceneActor classes which make it easier to add resources without many manual importing. Be sure to see the demo’s source as it can help you a lot in understanding the framework.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Sink
Sink Key Features
Sink Examples and Code Snippets
private static int networkFlow(int source, int sink) {
flow = new int[V][V];
int totalFlow = 0;
while (true) {
Vector parent = new Vector<>(V);
for (int i = 0; i < V; i++) {
par
def mincut(graph, source, sink):
"""This array is filled by BFS and to store path
>>> mincut(test_graph, source=0, sink=5)
[(1, 3), (4, 3), (4, 5)]
"""
parent = [-1] * (len(graph))
max_flow = 0
res = []
temp =
def max_flow(self, source, sink):
flow, self.q[0] = 0, source
for l in range(31): # noqa: E741 l = 30 maybe faster for random data
while True:
self.lvl, self.ptr = [0] * len(self.q), [0] * len(self.q)
Community Discussions
Trending Discussions on Sink
QUESTION
I'm using glutin
and so have a move closure for my program's main loop and I'm trying to play an audio file with the rodio
crate. With the following code everything works and I get one beep every time the program loops:
ANSWER
Answered 2021-Jun-15 at 16:27Basically, the problem at hand is that rodio::Decoder::new
consumes the value which it reads from (well, actually it is already consumed by BufReader::new
). So, if you have a loop or a closure that can be called multiple times, you have to come up with a fresh value each time. This what File::open
does in your first code snipped.
In your second code snipped, you only create a File
once, and then try to consume it multiple times, which Rust's ownership concept prevents you from doing.
Also notice, that using reference is sadly not really an option with rodio
since the decoders must be 'static
(see for instance the Sink::append
trait bound on S
).
If you think your file system is a bit slow, and you want to optimize this, then you might actually want to read the entire file up-front (which File::open
doesn't do). Doing this should also provide you with a buffer (e.g. a Vec
) that you can clone, and thus allows to repeatedly create fresh values that can be consumed by the Decoder
. Here is an example doing this:
QUESTION
I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.
We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.
Currently exploring two options to get the data to redshift.
- Output to parquet and use copy to load
- Point the Materialized view to jdbc sink specifying redshift.
Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.
Questions:
- In option 1, would I be able to handle incremental loads?
- Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
- Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.
Thanks in advance for any guidance provided.
...ANSWER
Answered 2021-Jun-15 at 13:51Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.
Regarding the Questions:
N/A
Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.
Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using
aws glue get-job-bookmark --job-name yourjobname
and then just that in the where clause of the mv aswhere id >= idinbookmark
conn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection")
connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}
datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")
That's all, folks
QUESTION
I am writing a program in C language using gtk3 library. I want it to be able to receive a h264 video stream from a certain IP address (localhost) and UDP/RTP PORT (5000).
In order to do it, I am using gstreamer to both stream and receive the video.
I managed to stream the video using the following pipeline :
send.sh :
gst-launch-1.0 filesrc location=sample-mp4-file.mp4 ! decodebin ! x264enc ! 'video/x-h264, stream-format=(string)byte-stream' ! h264parse ! rtph264p
I managed to display the video in a new window using the following pipeline :
receive.sh :
gst-launch-1.0 udpsrc port=5000 caps="application/x-rtp,encoding-name=H264" ! rtph264depay ! decodebin ! videoconvert ! autovideosink
At this point, everything works fine. But now I want to receive the stream and display it inside my C/GTK program. I am using the following code (found on internet and adapted to make it compile) :
...ANSWER
Answered 2021-Jun-15 at 11:39Here is the solution I found :
Changin xvimagesink by ximagesink :
sink = gst_element_factory_make ("xvimagesink", NULL); g_assert(sink);
becomes
sink = gst_element_factory_make ("ximagesink", NULL); g_assert(sink);
Hope it will help some of you facing the same problem.
QUESTION
The development is in Azure Data Factory -- Data Flow
- I am getting an input file with various columns and one column with DateFormat ('MM/dd/yyyy'T'HH:mm:ss').
- I am trying to convert the above DateFormat to toTimestamp('yyyy-MM-dd HH:mm:ss.SSS')
- I have tried with the below format in Derived Column tab on the particular column needed in sink below is the Expression used to convert such case.
iifNull(toTimestamp(,'MM/dd/yyyy\'T\'HH:mm:ss'), toTimestamp(,'yyyy-MM-dd HH:mm:ss.SSS'))
- For reference i am attaching the sample Date format got in the input file
01/26/2018 00:00:00
. - Ref 4, should be converted to the format as
2018-01-26 00:00:00
.
ANSWER
Answered 2021-Jun-15 at 01:43The format of date 01/26/2018 00:00:00
you provided is 'MM/dd/yyyy HH:mm:ss'
which isn't contained in your expression. This leads to you got Null. If your column also has 'MM/dd/yyyy'T'HH:mm:ss' and 'yyyy-MM-dd HH:mm:ss.SSS' format, you can try this expression:
QUESTION
I have found the code for an OObject
that serves me as a basic audio player (with a slider)
Works fine , however i can use it so far in the ContentView
like this :
ANSWER
Answered 2021-Jun-14 at 19:54In a non-SwiftUI situation, I'd normally recommend making player
an optional and loading it later, but, as you've probably discovered, you can't make an @ObservedObject
or @StateObject
optional.
I'd recommend refactoring AudioPlayerAV
so that it does the important work in a different function than init
. That way, you're free to load the content at whatever point you want.
For example:
QUESTION
I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:
...ANSWER
Answered 2021-Jun-14 at 18:49In a streaming pipeline, Dataflow retries work items running into errors indefinitely.
The code itself does not need to have retry logic.
QUESTION
Using below code I'm attempting to use an actor as a source and send messages of type Double to be processed via a sliding window.
The sliding windows is defined as sliding(2, 2)
to calculate each sequence of twp values sent.
Sending the message:
...ANSWER
Answered 2021-Jun-14 at 11:39The short answer is that your source
is a recipe of sorts for materializing a Source
and each materialization ends up being a different source.
In your code, source.to(Sink.foreach(System.out::println)).run(system)
is one stream with the materialized actorRef
being only connected to this stream, and
QUESTION
I am currently trying to create a program that finds the maximum flow through a network under the constraint that edges with a common source node must have the same flow. It is that constraint that I am having trouble with.
Currently, I have the code to get all flow augmenting routes, but I am hesitant to code the augmentation because I can't figure out how to add in the constraint. I am thinking about maybe a backtracking algorithm that tries to assign flow using the Ford-Fulkerson method and then tries to adjust to fit the constraint.
So my code:
There is a graph class that has as attributes all the vertices and edges as well as methods to get the incident edges to a vertex and the preceding edges to a vertex:
ANSWER
Answered 2021-Jun-14 at 15:28I would guess that you have an input that specifies the maximum flow through each edge.
The algorithm is then:
Because edges with a common source must have same actual, final flow the first step must be a little pre-processing to reduce the max flow at each edge to the minimum flow from the common source.
apply the standard maximum flow algorithm.
do a depth first search from the flow origin ( I assume there is just one ) until you find a node with unequal outflows. Reduce the max flows on all edges from this node to the minimum flow assigned by the algorithm. Re-apply the algorithm.
Repeat step 3 until no uneven flows remain.
=====================
Second algorithm:
Adjust capacity of every out edge to be equal to the minimum capacity of all out edges from the common vertex
Perform breadth first search through graph. When an edge is added, set the flow through the edge the minimum of
- the flow into the source node divided by the number of exiting edges
- the edge capacity
- When search is complete sum flows into destination node.
For reference, here is the C++ code I use for depth first searching using recursion
QUESTION
I have a spring boot application that would run on a local server (not on a google cloud server). I plan to use a service account to allow the application to use Google Cloud Storage and Logging. I created a service account and an api key and downloaded the json file which looks like this:
...ANSWER
Answered 2021-Jun-14 at 08:03I used systemd, it allows me to set any environment variable on service start.
- place the executable jar and the application.properties in a folder, like
/opt/
or/home//
- sudo nano
/etc/systemd/system/.service
- Content:
QUESTION
We've created a new hosted service using .NET Core 3.1 and the WorkerService
template.
We want to run this service as a "Windows Service".
If I run the program manually using a Powershell shell, it runs fine with no problems.
So I then added it as a windows service. To do this, I followed these steps:
Added the
Microsoft.Extensions.Hosting.WindowsServices
packageAdded the following to CreateHostBuilder:
...
ANSWER
Answered 2021-Jun-14 at 06:20As per comment on issue 36065, when a .NET Core 3.1 worker service runs as a windows service "Directory.GetCurrentDirectory() will point to %WINDIR%\system32". Therefore to get the current directory, you could use some reflection and something like:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Sink
You can use Sink like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Sink component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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