packbits | PackBits encoder/decoder for Python | Messaging library
kandi X-RAY | packbits Summary
kandi X-RAY | packbits Summary
PackBits encoder/decoder for Python
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packbits Examples and Code Snippets
Community Discussions
Trending Discussions on packbits
QUESTION
I have a numpy array (dtype bool) representing an array of bits. For example, the array np.array([True, False, False], dtype=bool)
represents the number 4 (indeed, bin(4) == 0b100
).
I would like to convert the numpy array to an integer (4
in the previous example).
So far I've tried with an iterative approach:
...ANSWER
Answered 2022-Mar-31 at 22:43Try using numpy.logspace:
QUESTION
I am looking for an efficient way of turning
...ANSWER
Answered 2022-Jan-25 at 17:59np.packbits
does that. However, the bits of resulting array are stored in block of np.uint8
items. This means that a.shape[1] <= 8
must be true. Moreover, it packs bits on the right (in bigendian mode) so you need to shift the values. Here is the resulting code:
QUESTION
I'm trying to optimise numpy.packbits
:
ANSWER
Answered 2022-Jan-15 at 03:29There are several issue with the Numba implementation. One of them is that parallel loops breaks the constant propagation optimization in LLVM-Lite (the JIT-compiler used by Numba). This cause critical information like array strides not to be propagated resulting in a slow scalar implementation instead of an SIMD one, and additional unneded instructions so to compute the offsets. Such issue can also be seen in C code. Numpy added specific macros so help compilers to automatically vectorize the code (ie. use SIMD instructions) when the stride of the working dimension is actually 1.
A solution to overcome the constant propagation issue is to call another Numba function. This function must not be inlined. The signature should be manually provided so the compiler can know the stride of the array is 1 at compilation time and generate a faster code. Finally, the function should work on fixed-size chunks because function calls are expensive and the compiler can vectorize the code. Unrolling the loop with shifts also produce a faster code (although it is uglier). Here is an example:
QUESTION
Is there an efficient way to calculate sum of bits in each column over array in Python?
Example (Python 3.7 and Numpy 1.20.1):
- Create numpy array with values 0 or 1
ANSWER
Answered 2022-Jan-11 at 13:43It seems there is no better option in numpy than numpy.unpackbits
.
To be more clear, let's take another example:
QUESTION
Numpy provides packbits function to convert from values to individual bits. With bitorder='little'
I can read them in C as uint8_t values without issues. However, I would like to read them as uint32_t values. This means that I have to reverse the order of each 4 bytes.
I tried to use
ANSWER
Answered 2021-May-09 at 10:51You can't use array.dtype = np.uint32
as you did, because numpy arrays have to be consecutive in memory.
Instead, you can create a new array of the new type.
QUESTION
I want to implement the PackBits algorithm.
The background is that I am writing some code for an ONVIF camera. I want to compress a pattern/string of 1's and 0's with PackBits, and I also want to decode an existing packed string.
JavaScript has my preference, but C, PHP or similar will do too.
I have been looking for some examples, but couldn't find any.
How can I implement the PackBits algorithm?
...ANSWER
Answered 2020-Aug-28 at 21:38The Wikipedia page for PackBits algorithm has a JS implementation example and other links. It has the following comment which includes a JSFiddle as well:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install packbits
You can use packbits 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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