tags | Tags Plugin for CakePHP | Web Framework library

Use ESM syntax, also use one of these methods before running the file.

1. specify "type":"module" in package.json
2. Or use this flag --input-type=module when running the file
3. Or use .mjs file extension

First, this error message is indeed expected on Jan. 11th, 2022.
See "Improving Git protocol security on GitHub".

January 11, 2022 Final brownout.

This is the full brownout period where we’ll temporarily stop accepting the deprecated key and signature types, ciphers, and MACs, and the unencrypted Git protocol.
This will help clients discover any lingering use of older keys or old URLs.

Second, check your package.json dependencies for any git:// URL, as in this example, fixed in this PR.

As noted by Jörg W Mittag:

There was a 4-month warning.
The entire Internet has been moving away from unauthenticated, unencrypted protocols for a decade, it's not like this is a huge surprise.

Personally, I consider it less an "issue" and more "detecting unmaintained dependencies".

Plus, this is still only the brownout period, so the protocol will only be disabled for a short period of time, allowing developers to discover the problem.

The permanent shutdown is not until March 15th.

As in actions/checkout issue 14, you can add as a first step:

This is a performance issue of the current Numpy implementation. I can also reproduce this problem on Windows (using an Intel Skylake Xeon processor with Numpy 1.20.3). np.logical_and(a, b) executes a very-inefficient scalar assembly code based on slow conditional jumps while np.logical_and(a.view(bool), b.view(bool)) executes relatively-fast SIMD instructions.

Currently, Numpy uses a specific implementation for bool-types. Regarding the compiler used, the general-purpose implementation can be significantly slower if the compiler used to build Numpy failed to automatically vectorize the code which is apparently the case on Windows (and explain why this is not the case on other platforms since the compiler is likely not exactly the same). The Numpy code can be improved for non-bool types. Note that the vectorization of Numpy is an ongoing work and we plan optimize this soon.

Here is the assembly code executed by np.logical_and(a, b):

Terraform AWS Provider is upgraded to version 4.0.0 which is published on 10 February 2022.

Major changes in the release include:

• Version 4.0.0 of the AWS Provider introduces significant changes to the aws_s3_bucket resource.
• Version 4.0.0 of the AWS Provider will be the last major version to support EC2-Classic resources as AWS plans to fully retire EC2-Classic Networking. See the AWS News Blog for additional details.
• Version 4.0.0 and 4.x.x versions of the AWS Provider will be the last versions compatible with Terraform 0.12-0.15.

The reason for this change by Terraform is as follows: To help distribute the management of S3 bucket settings via independent resources, various arguments and attributes in the aws_s3_bucket resource have become read-only. Configurations dependent on these arguments should be updated to use the corresponding aws_s3_bucket_* resource. Once updated, new aws_s3_bucket_* resources should be imported into Terraform state.

So, I updated my code accordingly by following the guide here: Terraform AWS Provider Version 4 Upgrade Guide | S3 Bucket Refactor

The new working code looks like this:

Unfortunately, you cannot chant the height of a dropdown list (while using ). It is confirmed here. you can build it yourself using divs & v-for (assuming you get the list from an outsource) and then you can style it as you wish. apologies for barring bad news.

UPDATE:

For your firebase_core version is seems to be sufficient to pass the FirebaseOptions once you initialize firebase in your flutter code (and you don't need any script tags in your index.html):

From your screenshot, gtm.js is executed before the update of the consent mode so the pageview continues to be sent to Google Analytics as denied.

The update must take place before gtm.js

You need to upgrade the python to 3.9 and Pywin32 to Build 302. In addition, you need to install the OpenOPC-Python3x 1.3.1.

NXOpen::NXObjectManager::Get was specifically designed for this. It returns an NXOpen::TaggedObject*, which needs to be dynamic_cast<>-ed to the appropriate type.