python- | 对抗生成、强化学习、统计分析等python实现,提供蓝灯工具
kandi X-RAY | python- Summary
kandi X-RAY | python- Summary
python-
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Top functions reviewed by kandi - BETA
- Load data from files
- Reads and cleans the input file
- Clean a string
- Build the BN problem
- Calculate mean and variance of a given value
- Calculate the mean variance of a value
- Get stock info
- Get html text from url
- Build the feature map
- 2d conv layer
- Convolutional convolution layer
- Connects the network
- Get stock list
- Parse the price and title
- Get HTML text from a given URL
- Predict function for data
- Save the model to disk
- Load test files
- Load parameters from file
- Calculate wind wind speed rule
- Create a dataframe based on ambient temperature
- Get the ambient temperature
- Generate batches of data
- Get discriminator layer
- Get the generator for a given noise image
- Get the wind speed from a given value
- Calculate the value iteration of the objective function
python- Key Features
python- Examples and Code Snippets
Community Discussions
Trending Discussions on python-
QUESTION
I need to get token to connect to API. Tried with python this:
...ANSWER
Answered 2021-Jun-12 at 17:16First note that a token must be obtained from the server ! A token is required to make some API calls due to security concerns. There are usually at least two types of tokens:
- Access token: You use it to make API calls (as in the Authorization header above). But this token usually expires after a short period of time.
- Refresh token: Use this token to refresh the access token after it has expired.
You should use requests-oauthlib in addition with requests.
https://pypi.org/project/requests-oauthlib/
But first, read the available token acquisition workflows:
https://requests-oauthlib.readthedocs.io/en/latest/oauth2_workflow.html#available-workflows
and choose the right workflow that suits your purposes. (The most frequently used is Web App workflow)
Then, implement the workflow in your code to obtain the token. Once a valid token is obtained you can use it to make various API calls.
As a side note: be sure to refresh token if required.
QUESTION
So... I can sympy.integrate
a normal distribution with mean and standard deviation:
ANSWER
Answered 2021-Jun-15 at 01:38Here's a close case that works:
QUESTION
When a divide-and-conquer recursive function doesn't yield runtimes low enough, which other improvements could be done?
Let's say, for example, this power
function taken from here:
ANSWER
Answered 2021-Jun-15 at 17:36The primary optimization you should use here is common subexpression elimination. Consider your first piece of code:
QUESTION
In this video, he shows how multithreading runs on physical(Intel or AMD) processor cores.
and
All these links basically say:
Python threads cannot take advantage of many physical cores. This is due to an internal implementation detail called the GIL (global interpreter lock) and if we want to utilize multiple physical cores of the CPU
we must use true parallel multiprocessing
module
But when I ran this below code on my laptop
...ANSWER
Answered 2021-Jun-15 at 08:06https://docs.python.org/3/library/math.html
The math module consists mostly of thin wrappers around the platform C math library functions.
While python itself can only execute a single instruction at a time, a low level c function that is called by python does not have this limitation.
So it's not python that is using multiple cores but your system's well optimized math library that is wrapped by python's math module.
That basically answers both your questions.
Regarding the usefulness of multiprocessing
: It is still useful for those cases, where you're trying to parallelize pure python code or code that does not call libraries that already use multiple cores.
However, it comes with inter process communication (IPC) overhead that may or may not be larger than the performance gain that you get from using multiple cores. Tuning IPC is therefore often crucial for multiprocessing in python.
QUESTION
I have been moderating a telegram group for some time and I have had no issues using the python-telegram-bot package. I actually love it. However, I can't seem to get a functioning "Welcome Message" for when new users join.
Right now, I have tried structuring the function like I do with my command and message handlers:
...ANSWER
Answered 2021-Jun-15 at 07:15As thethiny already pointed out, chatmember updates have so associated message: update.message
will be None
, while update.chat_member
will be an instance of ChatMemberUpdated
. Note that Message.reply_text
is just a shortcut for Bot.send_message(chat_id=message.chat.id, ...)
, so as long as you have the chat_id
you can just use e.g. context.bot.send_message
- and you can get that chat_id
from ChatMemberUpdated.chat
. In fact, you can still use PTBs shortcuts, e.g. update.effective_chat.send_message
.
Please check out the docs of
ChatMemberUpdated
(official and PTB)Update.effective_chat
Chat.send_message
as well as the chatmemberbot.py
example provided by PTB.
Disclaimer: I'm currently the maintainer of python-telegram-bot
QUESTION
I need to use Python3.7, so I followed these instructions to install it
...ANSWER
Answered 2021-Feb-26 at 06:58I adapted your script to work as UserData script on Ubuntu 20.04 instance:
QUESTION
I am trying to get Arelle working on Ubuntu linux 18.04 with Python 3.6.9.
Step-1: (Download Arelle software):
git clone https://github.com/Arelle/Arelle.git -b lxml
Step-2 Install Python LXML:
apt-get install -y python-lxml
Step-3 Install Python tk:
Due to error: 'No module named tkinter'
...I install:
apt-get install python3-tk
When it's time to start Arelle from terminal, I use:
...ANSWER
Answered 2021-Jun-14 at 22:44This is an error in Arelle, which shows up for Python 3.6 and later. There is a pull request for it , but that is still open (since July 2017). Given that Python 3.6 has been out for quite a while, I don't know why this hasn't been fixed.
You are using the lxml
branch, which has been stale for 10 years. So perhaps this error has actually been fixed (even if the pull request is still open) on the master brach, but not on the lxml
branch. Try installing from master first, if that is an option for you.
QUESTION
I did some research and found this: Setting a fixed FPS in Pygame, Python 3 and this: pygame clock.tick() vs framerate in game main loop. It is similar to what I am asking.
So the clock.tick(FPS)
caps the program to run at that FPS
. The reason you do this is so you can control the FPS
of the program and it makes it easier for time stuff like waits.
But how can I unlimited FPS
and still control my FPS
for time stuff like waits? From my understanding, this is not possible, due to the fact that clock.tick(FPS)
caps the FPS
and while not adding it in means unlimited FPS
but you not being able to control the FPS
.
So it seems to be a question of weather to cap you FPS
for control or have your program run as fast as possible, but without control.
In conclusion, what I am asking is four questions;
- Pros and cons of capping your
FPS
- Pros and cons of not capping your
FPS
and going on with the naturalFPS
of your program - Is it possible to have unlimited
FPS
and still control myFPS
for time stuff like waits? - If so, how?
ANSWER
Answered 2021-Jun-14 at 21:42You have to calculate the movement per frame depending on the frame rate.
pygame.time.Clock.tick
returns the number of milliseconds since the last call. When you call it in the application loop, this is the number of milliseconds that have passed since the last frame.
When you call it without a parameter (framerate=0
), the FPS are unlimited.
Define the distance in pixels that the player should move per second (move_per_second
). Then compute the distance per frame in the application loop:
QUESTION
I have an image (QR image) that i have to display it, and keep refreshing it every time. I tried many solutions but none worked, this is my code:
...ANSWER
Answered 2021-Jun-14 at 21:36You have to keep a reference to the PhotoImage
instance first, which you are not:
QUESTION
I am trying to make a next-word prediction model with LSTM + Mixture Density Network Based on this implementation(https://www.katnoria.com/mdn/).
Input: 300-dimensional word vectors*window size(5) and 21-dimensional array(c) representing topic distribution of the document, used to train hidden initial states.
Output: mixing coefficient*num_gaussians, variance*num_gaussians, mean*num_gaussians*300(vector size)
x.shape, y.shape, c.shape with an experimental 161 obserbations gives me such:
(TensorShape([161, 5, 300]), TensorShape([161, 300]), TensorShape([161, 21]))
...ANSWER
Answered 2021-Jun-14 at 19:07for MDN model , the likelihood for each sample has to be calculated with all the Gaussians pdf , to do that I think you have to reshape your matrices ( y_true and mu) and take advantage of the broadcasting operation by adding 1 as the last dimension . e.g:
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