multi | command line network manager for Linux | Networking library

Your issue is related to interoperability between TypeScript/ECMAScript modules and CommonJS.

When it comes to the differences between ECMAScript modules and CommonJS modules:

• CommonJS modules are meant to be imported like const library = require('library') which allows to retrieve the full exports object of that library. There is no notion of default import in CommonJS
• ECMAScript modules have explicit export clauses for every exported item. They also feature a default import syntax which allows to retrieve the default export in a local variable.

In order to implement interoperability between CommonJS modules and TypeScript's default import syntax, CommonJS modules can have a default property.

That default property can even be added automatically by TypeScript when esModuleInterop is enabled (which also enables allowSyntheticDefaultImports). This option adds this helper function at transpilation time:

This function were removed in TensorFlow version 2.6. According to the keras in rstudio reference

update to

Answering my own question. Two things helped to resolve the issue:

1. Adding plugins section with ProviderPlugin into webpack.config.js

There are a few ways to approach this but what I'd probably do – and a generally useful pattern – is to use a subset to create a slightly over-inclusive multi and then redispatch the case you shouldn't have included. For the example you provided, that might look a bit like:

To test a MRJAR the classes must be packaged as a jar, so don't use surefire with target/classes, but instead use failsafe during the verify phase. And you must run it at least twice, once per targeted Java version. I would write a unittest, that works for all Java versions, but might skip certain tests.

EDIT: December 2021

I received a response from GitHub support:

The VM hosts for Codespaces are only x86_64 and we do not offer any ARM64 machines.

So for now, setting the platform does nothing, or fails.

But if they end up supporting multiple platforms, you should be able to (in Dockerfile)

RUN --platform=arm64|amd64|x86-64 [image-name],

Which is working for me in the non-cloud version of Docker.

Original answer:

I may have answered my own question

In Dockerfile:

I had RUN alpine

changed to

RUN --platform=linux/amd64 alpine

or

RUN --platform=linux/x86-64 alpine

checked at the command line with

uname -a to print the architecture.

Still verifying, but seems promising. [EDIT: Nope]

So, despite the above, I can only get GitHub codespaces to run x86-64. Nevertheless, the above syntax seems correct.

A clue:

In the logs that appear while the codespace is building, I saw target OS: x86

Maybe GitHub just doesn't support other architectures yet. Still investigating.

Check if you are only seeing this issue on iOS 15. If so, this may be caused by the newly introduced UITableView.sectionHeaderTopPadding property. You will need to set this value to 0 in order to remove the spacing before section headings:

The TLDR is that loads which miss all levels of the TLB (and so require a page walk) and which are separated by address unknown stores can't execute in parallel, i.e., the loads are serialized and the memory level parallelism (MLP) factor is capped at 1. Effectively, the stores fence the loads, much as lfence would.

The slow version of your insert function results in this scenario, while the other two don't (the store address is known). For large region sizes the memory access pattern dominates, and the performance is almost directly related to the MLP: the fast versions can overlap load misses and get an MLP of about 3, resulting in a 3x speedup (and the narrower reproduction case we discuss below can show more than a 10x difference on Skylake).

The underlying reason seems to be that the Skylake processor tries to maintain page-table coherence, which is not required by the specification but can work around bugs in software.

For those who are interested, we'll dig into the details of what's going on.

I could reproduce the problem immediately on my Skylake i7-6700HQ machine, and by stripping out extraneous parts we can reduce the original hash insert benchmark to this simple loop, which exhibits the same issue:

ESLint 8.0.0 comes with a breaking change for rules that provide suggestions. There is nothing you can put into your .eslintrc.js to make it work if you use rules that haven't been updated to work after this change.

What you can do:

• Use ESLint 7 until the plugin is updated to work with ESLint 8.
• In case of eslint-plugin-react-hooks, the offending rule has already been updated (check this line on GitHub), it's just that there hasn't been a stable release of the package since. However there have been daily alpha releases, at the time of writing the latest version is 4.2.1-alpha-c3a19e5af-20211014. If you really need both ESLint 8 and this plugin, you can use an alpha version until the next stable version comes out.