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⚠️ This release includes several breaking changes. Refer to the Removed section below for the list of deprecated methods that have been removed in this release.
Rack v3.1 is primarily a maintenance release that removes features deprecated in Rack v3.0. Alongside these removals, there are several improvements to the Rack SPEC, mainly focused on enhancing input and output handling. These changes aim to make Rack more efficient and align better with the requirements of server implementations and relevant HTTP specifications.
Goods for 10 days. All good! The same as the preoccupation. I'll sell my daughter.
Delivery to Latvia 10 days. The seller is great that he can keep a decent price.
The machine arrived well packed. When turned on, it immediately began to work, and it's good that it has an internal battery.
To be honest I wasn't expecting much. But wow what a great little Radio it. Thanks guys good job 👍great seller and great postage time AAA+
Fast delivery, in 2 days has arrived. It doesn't taste, but it looks very good. I 've already hit him and hold on! XD. Very happy, battery life expected, 10-15 minutes. The camera looks upside down, but there is an option within the app that turns the image around
In his Posterior Analytics Aristotle applies the theory of the syllogism to scientific and epistemological ends. Scientific knowledge, he urges, must be built up out of demonstrations. A demonstration is a particular kind of syllogism, one whose premises can be traced back to principles that are true, necessary, universal, and immediately intuited.
Manually building Zepto
zepto.js and zepto.min.js provided above can be used as-is. However, for best efficiency and customizability, run the build system that comes with Zepto's source code. It allows you to select modules, run tests, use UglifyJS to minify your custom build, and gives you an estimate on the compression that is achievable when zepto.min.js is served gzipped.
How session tokens work
A session token, also known as a JSON web token (JWT), lets your app authenticate the requests that it makes between the client side and your app's backend. The session token also contains information about the merchant who's currently using your embedded app.
The following video provides a short introduction to session tokens:
While 100% jQuery coverage is not a design goal, the APIs provided match their jQuery counterparts. The goal is to have a ~5-10k modular library that downloads and executes fast, with a familiar and versatile API, so you can concentrate on getting stuff done.
Unescape 0 times↵↵BoldItalic↵Test & Review. 4 < 5 == true. Review Body from API 🤪 😃 🐞👵🏻↵↵https://www.coworker.com/ <== Should be auto link↵--↵Some link inside an anchor tag <== Should not be auto link
Unescape 0 times
BoldItalic
Test & Review. 4 < 5 == true. Review Body from API 🤪 😃 🐞👵🏻
https://www.coworker.com/ <== Should be auto link
--
Some link inside an anchor tag <== Should not be auto link
Unescape 0 times
BoldItalic
Test & Review. 4 < 5 == true. Review Body from API 🤪 😃 🐞👵🏻
https://www.coworker.com/ <== Should be auto link
--
Some link inside an anchor tag <== Should not be auto link
Elastic Beanstalk platforms glossary
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Following are key terms related to AWS Elastic Beanstalk platforms and their lifecycle.
Runtime
The programming language-specific runtime software (framework, libraries, interpreter, vm, etc.) required to run your application code.
Elastic Beanstalk Components
Software components that Elastic Beanstalk adds to a platform to enable Elastic Beanstalk functionality. For example, the enhanced health agent is necessary for gathering and reporting health information.
Platform
A combination of an operating system (OS), runtime, web server, application server, and Elastic Beanstalk components. Platforms provide components that are available to run your application.
Platform Version
A combination of specific versions of an operating system (OS), runtime, web server, application server, and Elastic Beanstalk components. You create an Elastic Beanstalk environment based on a platform version and deploy your application to it.
A platform version has a semantic version number of the form X.Y.Z, where X is the major version, Y is the minor version, and Z is the patch version.
A platform version can be in one of the following states:
Supported – A platform version that consists entirely of supported components. All components have not reached their End of Life (EOL), as designated by their respective suppliers (owners—AWS or third parties—or communities). They receive regular patch or minor updates from their suppliers . Elastic Beanstalk makes supported platform versions available to you for environment creation.
Retired – A platform version with one or more retired components, which have reached their End of Life (EOL), as designated by their suppliers. Retired platform versions aren't available for use in Elastic Beanstalk environments for either new or existing customers.
For details about retired components, see Elastic Beanstalk platform support policy.
Platform Branch
A line of platform versions sharing specific (typically major) versions of some of their components, such as the operating system (OS), runtime, or Elastic Beanstalk components. For example: Python 3.6 running on 64bit Amazon Linux; IIS 10.0 running on 64bit Windows Server 2016. Each successive platform version in the branch is an update to the previous one.
The latest platform version in each platform branch is available to you unconditionally for environment creation. Previous platform versions in the branch are still supported—you can create an environment based on a previous platform version if you've used it in an environment in the last 30 days. But these previous platform versions lack the most up-to-date components and aren't recommended for use.
A platform branch can be in one of the following states:
Supported – A current platform branch. It consists entirely of supported components. It receives ongoing platform updates, and is recommended for use in production environments. For a list of supported platform branches, see Elastic Beanstalk supported platforms in the AWS Elastic Beanstalk Platforms guide.
Beta – A preview, pre-release platform branch. It's experimental in nature. It may receive ongoing platform updates for a while, but has no long-term support. A beta platform branch isn't recommended for use in production environments. Use it only for evaluation. For a list of beta platform branches, see Elastic Beanstalk Platform Versions in Public Beta in the AWS Elastic Beanstalk Platforms guide.
Deprecated – A platform branch with one or more deprecated components. It receives ongoing platform updates, but isn't recommended for use in production environments. For a list of deprecated platform branches, see Elastic Beanstalk Platform Versions Scheduled for Retirement in the AWS Elastic Beanstalk Platforms guide.
Retired – A platform branch with one or more retired components. It doesn't receive platform updates anymore, and isn't recommended for use in production environments. Retired platform branches aren't listed in the AWS Elastic Beanstalk Platforms guide. Elastic Beanstalk doesn't make platform versions of retired platform branches available to you for environment creation.
A supported component has no retirement date scheduled by its supplier (owner or community). The supplier might be AWS or a third party. A deprecated component has a retirement date scheduled by its supplier. A retired component has reached End of Life (EOL) and is no longer supported by its supplier. For details about retired components, see Elastic Beanstalk platform support policy.
If your environment uses a deprecated or retired platform branch, we recommend that you update it to a platform version in a supported platform branch. For details, see Updating your Elastic Beanstalk environment's platform version.
Platform Update
A release of new platform versions that contain updates to some components of the platform—OS, runtime, web server, application server, and Elastic Beanstalk components. ab
You can use Amazon Rekognition to detect content that is inappropriate, unwanted, or offensive. You can use Rekognition moderation APIs in social media, broadcast media, advertising, and e-commerce situations to create a safer user experience, provide brand safety assurances to advertisers, and comply with local and global regulations.
Today, many companies rely entirely on human moderators to review third-party or user-generated content, while others simply react to user complaints to take down offensive or inappropriate images, ads, or videos. However, human moderators alone cannot scale to meet these needs at sufficient quality or speed, which leads to a poor user experience, high costs to achieve scale, or even a loss of brand reputation. By using Rekognition for image and video moderation, human moderators can review a much smaller set of content, typically 1-5% of the total volume, already flagged by machine learning. This enables them to focus on more valuable activities and still achieve comprehensive moderation coverage at a fraction of their existing cost. To set up human workforces and perform human review tasks, you can use Amazon Augmented AI, which is already integrated with Rekognition.
There's been a change in President Donald Trump. He used to say he had accomplished more than any other President, a debatable claim. But now he's using messianic language about himself.
"I'm the chosen one," he said Wednesday about what he claims is a singular, and still only hoped-for, trade deal with China.
That was after he quoted a conspiracy theorist who described him, literally, as being like the King of Israel and said Jews "love him like the second coming of God" - -- also known as the Messiah
