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kandi X-RAY | pypy Summary
The unofficial GitHub mirror of PyPy (mirrored via https://github.com/mozillazg/job-mirror-hg-repos)
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Top functions reviewed by kandi - BETA
- Make a formatter class .
- Create a new TimSort class .
- Write Unicode data table .
- Match pattern .
- Return the character name for the given code .
- Make a subclass of BaseStringFormatter .
- Parse the grammar rules .
- Create a new template formatting class .
- This method is used to declare all of the functions that are used in memory .
- Dispatch bytecode .
pypy Key Features
pypy Examples and Code Snippets
Community Discussions
Trending Discussions on pypy
QUESTION
I created venv according to pypy install site:
...ANSWER
Answered 2022-Jan-16 at 11:03Please use the venv module provided with python
QUESTION
I have gone round a little and I can say this post is not a duplicate. I have been fairly using Ansible 2.9.x and connectivity to the bastion host has always worked fine for me using the ec2.py dynamic inventory . I am switching to the the ansible was_ec2 plugin and one of the reason is even on this other stackoverflow post of mine.
I have gleaned information below are my inventory file and ansible.cfg file
...ANSWER
Answered 2022-Feb-18 at 16:51After running ansible-config dump
using that ansible.cfg
, it emits AnsibleOptionsError: Invalid value "merge ##...
so it seems ansible just silently ate the config file, or may be using a different one
It seems that while #
is a supported beginning of line comment character, ansible-config (as of 2.12.1) only tolerates ;
as and end of line comment character
QUESTION
I have following simple code:
...ANSWER
Answered 2022-Feb-18 at 10:42Use of list
in that way was only introduced in Python 3.9. See PEP-585 for more information. Prior to that you had to import List
from the typing
module to use for type hints (unless you just wanted to specify list
without the contained type).
This means your example would need to be:
QUESTION
My current machine crashed and I have to setup ansible again on the new one using the same methodologies but It seems I am missing somethings. I need to use version 2.X for consistency reasons as we have not upgraded yet.
I heavily used ec2.py and ec2.ini so when I run
...ANSWER
Answered 2022-Feb-16 at 03:25It's because you have ansible v2.10.17 whereas that file only exists in the v2.9 series: https://github.com/ansible/ansible/blob/v2.9.27/lib/ansible/module_utils/ec2.py
- 404: https://github.com/ansible/ansible/blob/v2.12.2/lib/ansible/module_utils/ec2.py
- 404: https://github.com/ansible/ansible/blob/v2.11.8/lib/ansible/module_utils/ec2.py
- 404: https://github.com/ansible/ansible/blob/v2.10.17/lib/ansible/module_utils/ec2.py
In the future, pip freeze
will emit a requirements.txt file with the versions pinned to the current ones in use, which can help this kind of drift
QUESTION
How one can use PyPy (preferably pypy3
) instead of standard python with poetry
?
That is, what should be stored in pyproject.toml
?
Are other changes necessary as well?
ANSWER
Answered 2022-Feb-15 at 20:24Turns out it is as easy as installing pypy3
(for OS X: brew install pypy3
) and typing the following in the project directory:
QUESTION
I wanted to install the sklearn package in PyCharm. However, I always got the same error (below is an extract):
...ANSWER
Answered 2022-Feb-07 at 12:38I think the easiest approach is to create a conda environment from PyCharm. Go to the python interpreter settings and create a new conda environment from there. Then, install packages with conda inside that environment, all from inside PyCharm.
Technically speaking, you're never installing anything into PyCharm, but into a python installation, which can again either be a virtualenv or a conda env (env as in environment). If you manage to point PyCharm to the correct python executable, you should be good. On the other hand if you're conda/pip installing into some other environment in the terminal, you'll just be confused. Since I don't have an M1 Mac I can't say exactly where you went wrong, though.
QUESTION
Suddenly, I don't know why occurs the error for every python file in this project, let's take for example and use matplotlib.
I tried this:
...ANSWER
Answered 2022-Feb-06 at 12:39Finally! I just go to Project Dependencies and unchecked, so my project "protest" with python doesn't depend on project "OneMoreTime" with pypy.
QUESTION
I know Numba does not support all Python features nor all NumPy features. However I really need to speed up the execution time of the following function, which is block_reduce available in the scikit-image library (I've not downloaded the whole package, I've just taken block_reduce and view_as_blocks from it).
Here is the original code (I've just removed the examples from the docstring).
block_reduce.py
...ANSWER
Answered 2021-Dec-24 at 02:01Have you tried running detailed profiling of your code? If you are dissatisfied with the performance of your program I think it can be very helpful to use a tool such as cProfile or py-spy. This can identify bottlenecks in your program and which parts specifically need to be sped up.
That being said, as @CJR said, if your program is spending the bulk of the compute time in NumPy, there likely is no reason to worry about speeding it up using a just-in-time compiler or similar modifications to your setup. As explained in more detail here, NumPy is fast due to it implementing compute-intensive tasks in compiled languages, so it saves you from worrying about that and abstracts it away.
Depending on what exactly you are planning to do, it is possible that your efficiency could be improved by parallelism, but this is not something I would worry about yet.
To end on a more general note: while optimizing code efficiency is of course very important, it is imperative to do so carefully and deliberately. As Donald Knuth is famous for saying "premature optimization is the root of all evil (or at least most of it) in programming". See this stack exchange thread for some more discussion on this.
QUESTION
I'm using python bytes objects to pass some data to natively implemented methods using the CFFI library, for example:
...ANSWER
Answered 2021-Nov-30 at 17:34Your guess is the correct answer. The (documented) guarantee is only that the pointer passed in this case is valid for the duration of the call.
PyPy's garbage collector can move objects in memory, if they are small enough that doing so is a win in overall performance. When doing such a cffi call, though, pypy will generally mark the object as "pinned" for the duration of the call (unless there are already too many pinned objects and adding more would seriously hurt future GC performance; in this rare case it will make a copy anyway and free it afterwards).
If your C code needs to access the memory after the call returned, you have to make explicitly a copy, eg with ffi.new("char[]", mybytes), and keep it alive as long as needed.
QUESTION
I have 12 millions of data from an eshop. I would like to compute association rules using efficient_apriori package. The problem is that 12 millions observations are too many
, so the computation tooks too much time. Is there a way how to speed up the algorithm? I am thinking about some Parallel-processing or compile python code into C. I tried PYPY, but PYPY does not support pandas package. Thank you for any help or idea.
If you want to see my code:
...ANSWER
Answered 2021-Nov-10 at 12:31can you this approach to run this task parallel:
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You can use pypy 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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