time-series

Bug description

netdatacli has limit for output size of 4096

Expected behavior

do we just increase this limit or make it transfer arbitrary message sizes?

Bug Description
fix issues found by Coverity Scan in syncMain.c

To Reproduce
N/A

Expected Behavior
fix following issues:
| issue type | category | file path | function | line number |
| -------------------------- | -------------------------- | -------------------------- | -------------------------- |

Relevant telegraf.conf:

[[inputs.openweathermap]]
  app_id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
  

Describe the Bug

The JSON response sent back over HTTP doesn't encode certain characters correctly.

For example, if a value in a string column contains the char \1 the byte value is copied verbatim in the response, breaking the client:

>>> json.loads('"\1"')
...
json.decoder.JSONDecodeError: Invalid control character at: line 1 column 2 (char 1)

Instead, we shou

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.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.

with fig.batch_update():
    template = _resolve_dict_keys(
        dict_=fig_kwargs, key="template", defaults=fig_default

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is.

Sktime repository contains a lot of notebooks (https://github.com/alan-turing-institute/sktime/tree/main/examples). The problem that motivated me to write this issue is mainly bad experience with notebook review process based on https://www.reviewnb.com/. To my taste it is

示例

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• 需求建议：希望哪些点上夜莺监控能做的更好，更契合您的使用场景。

The parameters of the likelihood model assume invalid values during training.

Use case:

PosgreSQL client compatibility (e.g. Trino)
SQL compliance

CrateDB

CREATE TABLE doc.x (txt TEXT)
SELECT crate.doc.x.txt FROM crate.doc.x

PostgreSQL

postgres=# CREATE TABLE public.x (txt TEXT);
CREATE TABLE
postgres=# SELECT postgres.public.x.txt FROM postgres.public.x;
 txt 
-----
(0 rows)

[From PostgreSQL docs](https://www.postg

See also fixes needed in #1893 because of this, and issue referenced therein.

To Reproduce

import mxnet as mx
from gluonts.mx.distribution.distribution import softplus
softplus(mx.nd, mx.nd.array([-20]))

Error message or code output

[-1.9073486e-06]
<NDArray 1 @cpu(0)>

Environment

• Operating system: macos
• Python version: 3.7.8
• GluonTS ve

How to get result? y cloumn and yhat are NAN

On MacOS, the tslearn.datasets does not work out-of-the-box.

In order to make it work, you need to apply the following steps:

1. Go to your finder
2. run "/Apps/Python/Install Certificates.command". This basically installs the certifi package with pip.

Perhaps we should add this to the documentation page of our datasets module?