Feature idea summary

Cgroups plugin supports only proportional and max Block IO policies. We should support BFQ scheduler as well. Disk stats for the scheduler are in blkio.bfq.io_service_bytes and blkio.bfq.io_serviced files.

Relevant telegraf.conf:

[[inputs.kinesis_consumer]]
  region = "eu-west-1"
  streamname = "telegrafStream"
  data_format = "influx"

System info:

Telegrad 1.17.2-alpine (running in Fargate)

Steps to reproduce:

it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.

now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.

a lot of code can already be regression-tested by simply running all the demos and val

Is your feature request related to a problem? Please describe.
The TimeSeriesForestCLassifier computes the importance curve for each of the extracted features in each time index. However, as the authors point out "different time indices are associated with different numbers of intervals", and, in particular, "the indices in the middle have more intervals than the indices on the edges of the t

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建议先将想法提出，不着急写代码，与社区同道沟通，大家觉得OK再做代码实现

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Use case:
As a user I want to get a clear error message, when I try to connect to a CrateDB Cluster, that enforces TLS and doesn't allow non-ecrypted connections.

Right now I only see a message, that doesn't make this clear: e.g.:

Npgsql.PostgresException (0x80004005): 28000: No valid auth.host_based entry found for host "10.0.0.89", user "defaultuser"

Feature description

We disallow - character in ILP parser. This breaks compatibility with InfluxDB.

We should allow.

E i.q.c.l.t.LineTcpMeasurementScheduler invalid column name [table=datatest2, columnName=data_connectionSource_user-agent]
E i.q.c.l.t.LineTcpMeasurementScheduler invalid column name [table=datatest2, columnName=data_connectionSource_x-geoip]
E i.q.c.l.t.LineTcpMeasurementScheduler inv

Description

(A clear and concise description of what the feature is.)

• util.cumsum implementation https://github.com/awslabs/gluon-ts/blob/master/src/gluonts/mx/util.py#L326 does not scale under mx.ndarray
• cumsum is 2-5 times slower than nd.cumsum under both mx.sym and mx.ndarray, and even fails for large 4-dim input

Sample test

Code

# import ...
def test_

Hi, Thanks for the awesome library!

So I am running a Kmeans on lots of different datasets, which all have roughly four shapes, so I initialize with those shapes and it works well, except for just a few times. There are a few datasets that look different enough that I end up with empty clusters and the algorithm just hangs ("Resumed because of empty cluster" again and again).

I conceptually