jams | JSON Annotated Music Specification for Reproducible MIR
kandi X-RAY | jams Summary
kandi X-RAY | jams Summary
[Dependency Status] A JSON Annotated Music Specification for Reproducible MIR Research. Please, refer to [documentation] for a comprehensive description of JAMS.
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Top functions reviewed by kandi - BETA
- Slice an annotation
- Add a Jam to the sandbox
- Append a new observation
- Update attributes
- Read an annotation file
- Search the object using search
- Remove prefix from a query
- Return True if the given string matches the given query string
- Load a JAMS from a file
- Validates the JAMS field
- Convert Jamfile to a csv file
- Return HTML representation of the panel
- Display multiple annotations
- Convert an annotation
- Compute the beat track
- Loops through the annotation files
- Compute the pianour
- Calculate the transcription of a reference sequence
- Compute tempo
- Compute chord
- Compute beat
- Evaluate a pattern against a reference
- Compute onset
- Compute a segment
- Return a new AnnotationArray
- Returns a new AnnotationArray with trimming
jams Key Features
jams Examples and Code Snippets
Community Discussions
Trending Discussions on jams
QUESTION
We have a Redshift Cluster with performance issues. When running certain queries on a cluster, there is an intermediary step in the query plan Fetch 200 in "SQL_CUR7". This step is causing the query to hang and jams up the cluster. We haven't defined this cursor and it seems like it's pre-defined by Redshift. Does anybody know what this type of cursor does? and if this could be the cause of our performance issues?
...ANSWER
Answered 2021-Oct-20 at 14:06That name, SQL_CUR7, looks like the naming used by Tableau but it could be from other tools or users that use the same naming or are copying. Typically Tableau would fetch 10,000 rows at a time so it may not be Tableau. The point is that FETCH isn't your problem - it's the likely query that is behind the fetch.
Let start with some background. When you run a query (select ...) the results of that query are sent back to you - all of them, no matter how big. The amount of data that can come from Redshift can drown smaller computers and brown out networks. Instead a "cursor" can be declared and the results of the query can be temporarily stored there (on the Redshift leader node in this case). The contents of the cursor are read by the FETCH command which pulls a specified number of rows out. This way the reader is not overwhelmed with more data than it can handle. Fetches can be repeated until all the rows of the cursor are read.
A cursor is defined by the DECLARE statement which also specifies the query to be run to fill the cursor. However, the query isn't run until the first FETCH of the cursor happens. Subsequent fetches just pull more data that was populated in the cursor when the first FETCH is executed. The downside of this is that is LOOKS LIKE the fetch is the thing running which doesn't tell you much about what is happening. It's the SQL defined in the DECLARE statement that is being run and you need to find out what this SQL is to find out what is going on.
Tracing this back isn't too difficult. A cursor only lives for the length of time that the transaction is open. This means that the FETCH and the DECLARE are in the same transaction (xid). So find the xid of the 'Fetch 200 in "SQL_CUR7"' and use this to find all the statements issued in this transaction (xid) in the system table SVL_STATEMENTTEXT. (Xids can be reused after some time so you may want to only look at a time window around the execution of the fetch.) You should see a statement that defines "SQL_CUR7" - DECLARE "SQL_CUR7" ... - this is SQL that is running when the fetch happens.
Now that you see this SQL things will likely start to make sense as to why things are getting overloaded. The query could just be bad and cross joining the world with everything else. It could be filling up the disks with intermediate results. The query could be returning a massive amount of data and it is overloading the leader node with data it needs to buffer. You may need to some diagnostic work but at least now you have the code that needs to be analyzed.
QUESTION
Well my target is to make a multiplaying 3D environment where the persons are represented by cubes that have as textures their selfie without the background. It is a kind of cheap virtual production without chroma key background. The background is removed with MediaPipe Selfie-Segmentation. The issue is that instead of having the other player texture on the cube (P1 should see P2, and P2 should see P1, each one sees his selfie. This means that P1 sees P1 and P2 sees P2 which is bad.
Live demo: https://vrodos-multiplaying.iti.gr/plain_aframe_mediapipe_testbed.html
Instructions: You should use two machines to test it Desktops, Laptops or Mobiles. Use only Chrome as Mediapipe is not working at other browsers. In case webpage jams, reload the webpage (Mediapipe is sometimes sticky). At least two machines should load the webpage in order to start the multiplaying environment.
Code:
...ANSWER
Answered 2021-Sep-15 at 07:47Well, I found it. The problem was that a MediaStream can have many video tracks. See my answer here:
https://github.com/networked-aframe/networked-aframe/issues/269
Unfortunately networked-aframe EasyRtcAdapter does not support many MediaStreams, but it is easy to add another video track and then get videotrack[1] instead of videotrack[0]. I should make a special EasyRtcAdapter to avoid having two video tracks and avoid overstressing bandwidth.
QUESTION
I am currently working with a large dataset (two subsamples of sizes 2,008,384x15 and 3,072,435x15 respectively). The data are monthly food and beverage price quotes over a period of ca 200 months. I would greatly appreciate your help with the following question:
In the original data, each observation (price quote of a product) has a category index from 1 to 151. I want to assign broader categories to these, i.e. grouping the 151 categories under 19 super-categories. Unfortunately, the breaks are not straight-forward, i.e. one category, say cheese, includes the indices 57,58,59,60 and 143.
I tried using a for-loop for the assignment -- which works -- but it took my computer like 2-3 days to run it (inserted below) Therefore, I'd very much like to ask for a more efficient way to assign these categories.
Thank you very much in advance for your help! All the best!
...ANSWER
Answered 2021-Aug-17 at 08:38Yes. Don't use a loop! R is vectorised by default. So, as a proof of concept, using random data:
QUESTION
function sleep(delay) {
var start = new Date().getTime();
while (new Date().getTime() - start < delay) {
console.log({}); // this works
}
}
function sleep1(delay) {
var start = new Date().getTime();
while (new Date().getTime() - start < delay) {
console.log('???') // this seems not work, why?
}
}
function test() {
console.log("111");
sleep(2000); // which works fine
sleep1(2000); // which won't stop
console.log("222");
}
test();
ANSWER
Answered 2021-Jun-25 at 07:12The problem is in the while loop. The continue statement prevents any other statement after it to be executed.
QUESTION
Hi I am creating a SideActivity to gather some results and pass them back to Main Activity. However, the two strings value from the putextra are NULL rather than the string "20" and the jamSize "medium". Is there a way of passing the data properly?
Here in my Main Activity I have a setOnClickListener and a onActivityResult function.
...ANSWER
Answered 2021-Mar-12 at 02:07In your onActivityResult don't use this :
QUESTION
In a data frame containing traffic jams, start date, end date, start time, end time, road, direction (right or left), start road section and end road section are provided. An example looks like this:
...ANSWER
Answered 2021-Feb-07 at 18:02As it turns out, this was a pretty tall task whose solution involved quite some work. In the end, it was a nice Sunday afternoon exercise. Let's hope it works with your full dataset.
Data
QUESTION
Here's a very simple question. I want to show all the files in a certain directory on a batch file. I've already written some code:
...ANSWER
Answered 2020-Nov-13 at 20:35This could be done with DIR and FIND.EXE. Read about what /I and /V do using the command FIND /?.
QUESTION
I have this database data as below (ES 7.xx) version
...ANSWER
Answered 2020-Nov-12 at 17:19If you are using Elasticsearch 7.xx, I will assume that you have use Spring Data Elasticsearch version 4.0.x that comes with Spring boot 2.3.x. Since it's the version that support Elasticsearch 7.xx.
There're many things that have change in this Spring Data Elasticsearch version. Update document by query is one of them. Unlike before that we autowired ElasticsearchTemplate, we now have to use ElasticsearchRestTemplate and RestHighLevelClient instead.
In your case if you might want to use RestHighLevelClient to update document by query. Assume that you stored expirationDate as number mapping type in seconds unit then the code that you have asked for should look like this.
QUESTION
I have the following saved json data in Elasticsearch:
...ANSWER
Answered 2020-Nov-06 at 16:17Well, delete by query is the way to go.
QUESTION
I've written a JavaScript function that creates an object from a require()'d library, and then uses it. That seems to be causing me trouble when I try to write tests for it because I don't seem to have a good way to gain control over that object and create mocks of its methods to test the behavior of my function.
Am I running into this because I've designed the function poorly? I come from a Java/Spring background, so the voices in my head are screaming "dependency injection". Is there's a better way to do that than just passing the object my function needs into it as a parameter?
Example function:
...ANSWER
Answered 2020-Oct-28 at 05:47DI is the best way, it will make your code easier to test, better scalability, and decouple the modules. But you still can stub the aws-sdk module if you want to require the module as the dependency. Unit test solution:
dbService.js:
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Install jams
You can use jams like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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