swift-API | Swift REST API module for StackSync web and mobile clients | REST library
kandi X-RAY | swift-API Summary
kandi X-RAY | swift-API Summary
Install StackSync REST API. $ sudo python setup.py install. Edit your proxy-server.conf pipeline to enable the StackSync API module. [pipeline:main] pipeline = healthcheck cache authtoken keystone stacksync-api proxy-server.
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Top functions reviewed by kandi - BETA
- PUT request handler
- Create an error response
- Create a response object
- Update metadata for a user
- Check if a given status code is valid
- Uploads a file
- Split the content into chunks
- Uploads file chunks to CloudSync API
- Remove uploaded chunks from a container
- Calculate sha1 hash of data
- Get the filename of the checksum
- Get metadata for a given resource
- Handle DELETE request
- Remove old chunks
- Get chunks from stacksync
- Join the content of the file
swift-API Key Features
swift-API Examples and Code Snippets
Community Discussions
Trending Discussions on swift-API
QUESTION
Since Apple states An autoclosure lets you delay evaluation, because the code inside isn’t run until you call the closure., why autoclosure delay evaluation and normal course does not?
I borrow the snippet with autoclosure from John Sundell to compare with/without autoclosure.
...ANSWER
Answered 2020-Jun-19 at 04:23I think you misunderstood the distinction that the documentation is trying to draw. When the documentation says:
An autoclosure lets you delay evaluation, because the code inside isn’t run until you call the closure.
It's not comparing @autoclosure () -> Bool
(an "autoclosure") against () -> Bool
(a "normal closure"). It's comparing @autoclosure () -> Bool
to Bool
.
The documentation is assuming that the caller stays the same, specifically in the case that the caller passes some expressions to the method. For example, for such a calling code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install swift-API
You can use swift-API like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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