Power | Python module that allows you to get power
kandi X-RAY | Power Summary
kandi X-RAY | Power Summary
Python module that allows you to get power and battery status of the system. Windows, Mac OS X, Linux
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Top functions reviewed by kandi - BETA
- Get low battery warning level
- Get the battery state
- Return the power source type
- Check if the ACpi is running
- Check if a battery is charging
- Check if the battery is present
- Get power management class
- Get power management class
- Remove an observer
- Stops the power notification thread
- Start the NSThread
- Notify about power sources
- Add an observer
- Start the NSThread thread
- Returns time remaining in power source
- Get power source type
- Removes all registered observers
Power Key Features
Power Examples and Code Snippets
def solution(number: int = 678910) -> int:
"""
This function calculates the power of two which is nth (n = number)
smallest value of power of 2
such that the starting digits of the 2^power is 123.
For example the powers of 2 f
public static double powExact(double base, double exponent)
{
if(base == 0.0) {
return 0.0;
}
double result = Math.pow(base, exponent);
if(result == Double.POSITIVE_INFINITY ) {
throw new
def power(base: int, exponent: int) -> float:
"""
power(3, 4)
81
>>> power(2, 0)
1
>>> all(power(base, exponent) == pow(base, exponent)
... for base in range(-10, 10) for exponent in range(10))
Community Discussions
Trending Discussions on Power
QUESTION
I have a need to truncate a float to the nearest power of 10. For example, 1.1 would truncate to 1.0 and 4.7e3 would truncate to 1e3. I am currently doing it with the seemingly complicated powf(10,floorf(log10f(x)))
. I am wondering whether there is a better performing (as in faster execution speed) solution? My target CPU architecture is both x86-64 and arm64.
ANSWER
Answered 2022-Apr-15 at 16:36I would say don't sweat it. Unless the program is spending a large proportion of its time doing this truncation, it's not worth optimising what is probably super-fast anyway. But if you wanted to optimise for your common cases (1e-2 <= x <= 10), then you might try using 32-bit integer arithmetic to compare with the binary representations of 1e-2, 1e-1, 1, and 10 (for instance, 1e-1 is 0x3dcccccd) ; if it's outside that range, you can fall back on the floating point version. Only experimentation will determine if this actually runs faster.
QUESTION
I am a computer science student; I am studying the Algorithms course independently.
During the course, I saw this question:
Given an n-bit integer N, find a polynomial (in n) time algorithm that decides whether N is a power (that is, there are integers a and k > 1 so that a^k = N).
I thought of a first option that is exponential in n: For all k , 1
For example, if N = 27, I will start with k = 2 , because 2 doesn't divide 27, I will go to next k =3. I will divide 27 / 3 to get 9, and divide it again until I will get 1. This is not a good solution because it is exponential in n.
My second option is using Modular arithmetic, using ak ≡ 1 mod (k+1) if gcd(a, k+1 ) = 1 (Euler's theorem). I don't know if a and k are relatively prime.
I am trying to write an algorithm, but I am struggling to do it:
...ANSWER
Answered 2022-Mar-15 at 10:07Ignoring the cases when N is 0 or 1, you want to know if N is representable as a^b for a>1, b>1.
If you knew b, you could find a in O(log(N)) arithmetic operations (using binary search). Each arithmetic operation including exponentiation runs in polynomial time in log(N), so that would be polynomial too.
It's possible to bound b: it can be at most log_2(N)+1, otherwise a will be less than 2.
So simply try each b from 2 to floor(log_2(N)+1). Each try is polynomial in n (n ~= log_2(N)), and there's O(n) trials, so the resulting time is polynomial in n.
QUESTION
I'm trying to solve this bonus question from the "How Cairo Works" tutorial. I ran the following function, opened the Cairo tracer and saw that the memory is full with powers of 2. Why is that?
...ANSWER
Answered 2022-Mar-17 at 15:43Here are some leading questions that can help you reach the answer. Answers to the questions after a break:
- Where does the
jmp rel -1
instruction jump to? - What does the target instruction do? What happens after it?
- How did this instruction end up in the program section of the memory?
jmp rel -1
is encoded in the memory at addresses 5-6. When it is executed, we havepc = 5
, thus after the jump we will execute the instruction atpc = 4
, which is0x48307fff7fff8000
.- This bytecode encodes the instruction
[ap] = [ap - 1] + [ap - 1]; ap++
(to check, you can manually decode the flags and offsets, or simply write a cairo program with this instruction and see what it compiles to). After it is executed,pc
is increased by 1, so we again executejmp rel -1
, and so on in an infinite loop. It should be clear why this fills the memory with powers of 2 (the first 2, at address 10, was written by the[fp + 1] = 2; ap++
instruction). - The instruction
[fp] = 5201798304953761792; ap++
has an immediate argument (the right hand side, 5201798304953761792). Instructions with immediate arguments are encoded as two field elements in the memory, the first encoding the general instruction (e.g.[fp] = imm; ap++
), and the second being the immediate value itself. This immediate value is thus written in address 4, and indeed 5201798304953761792 is the same as0x48307fff7fff8000
. Similarly, the2
at address 2 is the immediate argument of the instruction[fp + 1] = 2
, and the-1
at address 6 is the immediate ofjmp rel -1
.
To summarize, this strange behavior is due to the relative jump moving to an address of an immediate value and parsing it as a standalone instruction. Normally this wouldn't occur, since pc
is incremented by 2 after executing an instruction with an immediate value, and by 1 when executing an instruction without one, so it always continues to the next compiled instruction. The unlabeled jump was necessary here to reach this unexpected program counter.
QUESTION
It is a number whose gcd of (sum of quartic power of its digits, the product of its digits) is more than 1. eg. 123 is a special number because hcf of(1+16+81, 6) is more than 1.
I have to find the count of all these numbers that are below input n. eg. for n=120 their are 57 special numbers between (1 and 120)
I have done a code but its very slow can you please tell me to do it in some good and fast way. Is there is any way to do it using some maths.
...ANSWER
Answered 2022-Mar-06 at 18:14The critical observation is that the decimal representations of special numbers constitute a regular language. Below is a finite-state recognizer in Python. Essentially we track the prime factors of the product (gcd > 1 being equivalent to having a prime factor in common) and the residue of the sum of powers mod 2×3×5×7, as well as a little bit of state to handle edge cases involving zeros.
From there, we can construct an explicit automaton and then count the number of accepting strings whose value is less than n using dynamic programming.
QUESTION
EDIT Keep in mind that each cell can have a different width and height. This is not the same thing as this post: CSS-only masonry layout, see guide lines of the reference picture:
there are about 19 columns and 17 rows made by guide lines and tiles placed in virtual 5×5 base grid overlap it in both axis.
I want something between a grid and a flex layout. Grids are limited by cell size and flex is more powerful, but (what I know of it) is limited to direction. I want to have different cell sizes, each 5 of them summing to the same width, and 5 columns summing to the same height. Like the image below.
Is there any way of achieving a similar layout using CSS?
This is all I got until now:
HTML:
...ANSWER
Answered 2021-Dec-25 at 17:08CSS GRID
new answer
complete explanation in the previous answer below...
use also negative margin for the top ones like (1,4,19) and positive margin for the bottom ones
QUESTION
I am trying to run an OpenAI Gym environment however I get the following error:
...ANSWER
Answered 2021-Oct-05 at 01:37Code works for me with gym
0.18.0
and 0.19.0
but not with 0.20.0
You may downgrade it with
QUESTION
After migrating from Remark to MDX, my builds on Netlify are failing.
I get this error when trying to build:
...ANSWER
Answered 2022-Jan-08 at 07:21The problem is that you have Node 17.2.0. locally but in Netlify's environment, you are running a lower version (by default it's not set as 17.2.0). So the local environment is OK, Netlify environment is KO because of this mismatch of Node versions.
When Netlify deploys your site it installs and builds again your site so you should ensure that both environments work under the same conditions. Otherwise, both node_modules
will differ so your application will have different behavior or eventually won't even build because of dependency errors.
You can easily play with the Node version in multiple ways but I'd recommend using the .nvmrc
file. Just run the following command in the root of your project:
QUESTION
I want to merge two json arrays with help of jq
. Each object in arrays contains name field, which allow me to group by and merge two arrays into one.
LABELS
...ANSWER
Answered 2022-Jan-04 at 16:37If you have two files labels.json
and runners.json
, you could read in the latter (runners) as a variable using --argjson
and append to each element of the input array (labels) using map
the corresponding fields determined by select
.
QUESTION
We can build and run Swift code/projects from the command line via multiple commands without using Xcode. I have heard of xcodebuild
, xcrun
and swift
used for Xcode development. I do use fastlane
but I don't really understand the tools powering it under the hood.
I am an iOS developer who uses a Mac. I develop using Xcode so I haven't used these command-line tools before.
What are the differences between each command? Are there any cases where I'd be better off using one over the other?
...ANSWER
Answered 2021-Sep-13 at 17:36xcodebuild
and xcrun
help build Xcode projects in a headless context, for example in CI setups. swift
is the Swift REPL and is largely used for Swift on Server apps. As such, we can build apps without knowing about or using the tools regularly in mobile app development. We use xcodebuild
and xcrun
under the hood interacting with Xcode even though we don't realise it because they're bundled in Xcode's Command Line tools (documentation archive, but still relevant).
fastlane
is an example CI tool that automates the build process, certificate signing, and interfacing with App Store Connect, using these tools.
xcodebuild
is part of Xcode's bundled command-line tools package. From the manpages:
build Xcode projects and workspaces
xcodebuild builds one or more targets contained in an Xcode project, or builds a scheme contained in an Xcode workspace or Xcode project.
xcodebuild
has lots of options and use cases. The options are equivalent to certain user actions within the Xcode IDE. Example usage:
QUESTION
Python makes various references to IEEE 754 floating point operations, but doesn't guarantee 1 2 that it'll be used at runtime. I'm therefore wondering where this isn't the case.
CPython source code defers to whatever the C compiler is using for a double
, which in practice is an IEEE 754-2008 binary64
on all common systems I'm aware of, e.g.:
- Linux and BSD distros (e.g. FreeBSD, OpenBSD, NetBSD)
- Intel i386/x86 and x86-64
- ARM: AArch64
- Power: PPC64
- MacOS all architectures supported are 754 compatible
- Windows x86 and x86-64 systems
I'm aware there are other platforms it's known to build on but don't know how these work out in practice.
...ANSWER
Answered 2021-Dec-02 at 17:25In theory, as you say, CPython is designed to be buildable and usable on any platform without caring about what floating-point format their C double
is using.
In practice, two things are true:
To the best of my knowledge, CPython has not met a system that's not using IEEE 754 binary64 format for its C
double
within the last 15 years (though I'd love to hear stories to the contrary; I've been asking about this at conferences and the like for a while). My knowledge is a long way from perfect, but I've been involved with mathematical and floating-point-related aspects of CPython core development for at least 13 of those 15 years, and paying close attention to floating-point related issues in that time. I haven't seen any indications on the bug tracker or elsewhere that anyone has been trying to run CPython on systems using a floating-point format other than IEEE 754 binary64.I strongly suspect that the first time modern CPython does meet such a system, there will be a significant number of test failures, and so the core developers are likely to find out about it fairly quickly. While we've made an effort to make things format-agnostic, it's currently close to impossible to do any testing of CPython on other formats, and it's highly likely that there are some places that implicitly assume IEEE 754 format or semantics, and that will break for something more exotic. We have yet to see any reports of such breakage.
There's one exception to the "no bug reports" report above. It's this issue: https://bugs.python.org/issue27444. There, Greg Stark reported that there were indeed failures using VAX floating-point. It's not clear to me whether the original bug report came from a system that emulated VAX floating-point.
I joined the CPython core development team in 2008. Back then, while I was working on floating-point-related issues I tried to keep in mind 5 different floating-point formats: IEEE 754 binary64, IBM's hex floating-point format as used in their zSeries mainframes, the Cray floating-point format used in the SV1 and earlier machines, and the VAX D-float and G-float formats; anything else was too ancient to be worth worrying about. Since then, the VAX formats are no longer worth caring about. Cray machines now use IEEE 754 floating-point. The IBM hex floating-point format is very much still in existence, but in practice the relevant IBM hardware also has support for IEEE 754, and the IBM machines that Python meets all seem to be using IEEE 754 floating-point.
Rather than exotic floating-point formats, the modern challenges seem to be more to do with variations in adherence to the rest of the IEEE 754 standard: systems that don't support NaNs, or treat subnormals differently, or allow use of higher precision for intermediate operations, or where compilers make behaviour-changing optimizations.
The above is all about CPython-the-implementation, not Python-the-language. But the story for the Python language is largely similar. In theory, it makes no assumptions about the floating-point format. In practice, I don't know of any alternative Python implementations that don't end up using an IEEE 754 binary format (if not semantics) for the float
type. IronPython and Jython both target runtimes that are explicit that floating-point will be IEEE 754 binary64. JavaScript-based versions of Python will similarly presumably be using JavaScript's Number
type, which is required to be IEEE 754 binary64 by the ECMAScript standard. PyPy runs on more-or-less the same platforms that CPython does, with the same floating-point formats. MicroPython uses single-precision for its float
type, but as far as I know that's still IEEE 754 binary32 in practice.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Power
You can use Power 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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