what-api | HTTP/JSON interface | REST library
kandi X-RAY | what-api Summary
kandi X-RAY | what-api Summary
HTTP/JSON interface to What?
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Top functions reviewed by kandi - BETA
- Produce a new request .
- Produce a new group from a table row .
- Produce a new edition
- Build the URL for the Amazon Lookup service .
- Parses a search page .
- Set up cookies and user agent .
- Fetches the title and artist .
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- Hello!
what-api Key Features
what-api Examples and Code Snippets
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QUESTION
I need to calculate time difference in milliseconds on Linux (Ubuntu 14).
It needs to be independent from system time because the application may change it during the execution (it sets system time according to the data received from GPS).
I've checked the clock function and it doesn't work for us because it returns the processor time consumed by the program and we need the real time.
The sysinfo (as mentioned in this question) return seconds since boot and, again, we need milliseconds.
And reading from /proc/uptime (as mentioned in this question) seem to be slow according to our tests (considering we want milliseconds and this function is called repeatedly).
We can use C++11, but I think std::chrono is related to system time also (correct me if I'm wrong).
Is there any other method to accomplish this?
Our Performance Test (for /proc/uptime comparison), 1 million of repeated calls:
gettimeofday:(not what we need since it depends on the system time)
...ANSWER
Answered 2017-Jun-29 at 13:52What you want is std::chrono::steady_clock
Class
std::chrono::steady_clock
represents a monotonic clock. The time points of this clock cannot decrease as physical time moves forward. This clock is not related to wall clock time (for example, it can be time since last reboot), and is most suitable for measuring intervals.
If you need to support a C++98/03 environment you could also use boost:steady_clock
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Install what-api
You can use what-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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