Rate-limit-semaphore - Semaphore implementation with rate limit restriction for async-style (any core)

Related tags

Deep Learningrate-limit-semaphore
Overview

Rate Limit Semaphore

Rate limit semaphore for async-style (any core)

PyPI - Python Version PyPI - Implementation PyPI Coverage Status

There are two implementations of rate limit semaphore. Live demo shows how FixedNewPreviousDelaySemaphore and FixedNewFirstDelaySemaphore work

Live demo Live demo

Overview

import datetime
import ralisem

# Or another implementation
sem = ralisem.FixedNewPreviousDelaySemaphore(
    access_times=3, per=datetime.timedelta(seconds=1)
)
async with sem:
    ...

Difference:

  • FixedNewPreviousDelaySemaphore: Sures the last and a new access have a fixed required delay (per / access_times)
  • FixedNewFirstDelaySemaphore: Sures first and last in series (serias is access_times) have a fixed delay (per)

Methods

All of these implementations are inherited from one base TimeRateLimitSemaphoreBase. Check out full methods here

Installation

Via PyPI:

python -m pip install ralisem

Or via GitHub

python -m pip install https://github.com/deknowny/rate-limit-semaphore/archive/main.zip

Contributing

Check out Contributing section

You might also like...
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Poisson Image Editing - A Parallel Implementation Jiayi Weng (jiayiwen), Zixu Chen (zixuc) Poisson Image Editing is a technique that can fuse two imag

Jiayi Weng 110 Dec 27, 2022
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Advantage async actor-critic Algorithms (A3C) in PyTorch @inproceedings{mnih2016asynchronous, title={Asynchronous methods for deep reinforcement lea

LEI TAI 111 Dec 8, 2022
Implementation of
Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"

Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner This repository is the official implementation of Meta-rPPG: Remote Heart Ra

Eugene Lee 137 Dec 13, 2022
PyTorch implementation of the paper Deep Networks from the Principle of Rate Reduction
PyTorch implementation of the paper Deep Networks from the Principle of Rate Reduction

Deep Networks from the Principle of Rate Reduction This repository is the official PyTorch implementation of the paper Deep Networks from the Principl

null 459 Dec 27, 2022
PyTorch implementation of some learning rate schedulers for deep learning researcher.
PyTorch implementation of some learning rate schedulers for deep learning researcher.

pytorch-lr-scheduler PyTorch implementation of some learning rate schedulers for deep learning researcher. Usage WarmupReduceLROnPlateauScheduler Visu

Soohwan Kim 59 Dec 8, 2022
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

Deep Networks from the Principle of Rate Reduction This repository is the official NumPy implementation of the paper Deep Networks from the Principle

Ryan Chan 49 Dec 16, 2022
A Pytorch Implementation of a continuously rate adjustable learned image compression framework.
A Pytorch Implementation of a continuously rate adjustable learned image compression framework.

GainedVAE A Pytorch Implementation of a continuously rate adjustable learned image compression framework, Gained Variational Autoencoder(GainedVAE). N

null 39 Dec 24, 2022
Pytorch implementation of Learning Rate Dropout.
Pytorch implementation of Learning Rate Dropout.

Learning-Rate-Dropout Pytorch implementation of Learning Rate Dropout. Paper Link: https://arxiv.org/pdf/1912.00144.pdf Train ResNet-34 for Cifar10: r

null 42 Nov 25, 2022
Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks. Bayesian-Torch is designed to be flexible and seamless in extending a deterministic deep neural network architecture to corresponding Bayesian form by simply replacing the deterministic layers with Bayesian layers.

Intel Labs 210 Jan 4, 2023
Releases(v0.1.0)

  • v0.1.0(Feb 15, 2022)

    A few words…

    Если вы, как и я, уже устали писать что-то под API, имеющее rate limit на запросы, и постоянно делать костыли, чтобы этот rate limit не превысить, то эта библиотека именно для вас

    ralisem предоставляет две имплементации семафора с ограничением по частоте исполнения вместо ограничения по количеству исполняемых одновременно задач, что предоставляет стандартный asyncio.Semaphore. Одна из них ожидает равное количество времени между каждыми исполняемыми задачами, другая проверяет, чтобы 1 и последняя задача в серии имели заданный промежуток ожидания (прикрепил две лайв демки). Сделано на anyio, поэтому будет работать как на asyncio, так и на trio

    Да, будет заюзано в квике для ограничения частоты обращений к API (собственно, это и послужило поводом)

    Если кто подскажет, как на такое писать юнит тесты — буду рад (думал как-то через моки текущего времени, но жутко лень). Сейчас работает на честном слове

    Доки здесь не нужно, чисто пара слов в ридми. На PyPI залита

    Source code(tar.gz)
    Source code(zip)
Owner
Yan Kurbatov
Open Source and Back-End Python developer
Yan Kurbatov
GitHub Repository
Fight Recognition from Still Images in the Wild @ WACVW2022, Real-world Surveillance Workshop

Fight Detection from Still Images in the Wild Detecting fights from still images is an important task required to limit the distribution of social med

Şeymanur Aktı 10 Nov 09, 2022
(ICONIP 2020) MobileHand: Real-time 3D Hand Shape and Pose Estimation from Color Image

MobileHand: Real-time 3D Hand Shape and Pose Estimation from Color Image This repo contains the source code for MobileHand, real-time estimation of 3D

90 Dec 12, 2022
MegEngine implementation of YOLOX

Introduction YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and ind

旷视天元 MegEngine 77 Nov 22, 2022
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.

This repository contains the SystemVerilog RTL, C++, HLS (Intel FPGA OpenCL to wrap RTL code) and Python needed to reproduce the numerical results in

Facebook Research 373 Dec 31, 2022
Differential rendering based motion capture blender project.

TraceArmature Summary TraceArmature is currently a set of python scripts that allow for high fidelity motion capture through the use of AI pose estima

William Rodriguez 4 May 27, 2022
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Note: This is an alpha (preview) version which is still under refining. nn-Meter is a novel and efficient system to accurately predict the inference l

Microsoft 244 Jan 06, 2023
Voxel Transformer for 3D object detection

Voxel Transformer This is a reproduced repo of Voxel Transformer for 3D object detection. The code is mainly based on OpenPCDet. Introduction We provi

173 Dec 25, 2022
Codes and Data Processing Files for our paper.

Code Scripts and Processing Files for EEG Sleep Staging Paper 1. Folder Tree ./src_preprocess (data preprocessing files for SHHS and Sleep EDF) sleepE

Chaoqi Yang 18 Dec 12, 2022
Deep Learning (with PyTorch)

Deep Learning (with PyTorch) This notebook repository now has a companion website, where all the course material can be found in video and textual for

Alfredo Canziani 6.2k Jan 07, 2023
List of all dependencies affected by node-ipc malicious commit

node-ipc-dependencies-list List of all dependencies affected by node-ipc malicious commit as of 17/3/2022 - 19/3/2022 (timestamp) Please improve upon

99 Oct 15, 2022
Optimized code based on M2 for faster image captioning training

Transformer Captioning This repository contains the code for Transformer-based image captioning. Based on meshed-memory-transformer, we further optimi

lyricpoem 16 Dec 16, 2022
1st-in-MICCAI2020-CPM - Combined Radiology and Pathology Classification

Combined Radiology and Pathology Classification MICCAI 2020 Combined Radiology a

22 Dec 08, 2022
Simple sinc interpolation in PyTorch.

Kazane: simple sinc interpolation for 1D signal in PyTorch Kazane utilize FFT based convolution to provide fast sinc interpolation for 1D signal when

Chin-Yun Yu 10 May 03, 2022
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch

Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo

Gabriele Corso 56 Dec 23, 2022
HODEmu, is both an executable and a python library that is based on Ragagnin 2021 in prep.

HODEmu HODEmu, is both an executable and a python library that is based on Ragagnin 2021 in prep. and emulates satellite abundance as a function of co

Antonio Ragagnin 1 Oct 13, 2021
This repository contains a set of codes to run (i.e., train, perform inference with, evaluate) a diarization method called EEND-vector-clustering.

EEND-vector clustering The EEND-vector clustering (End-to-End-Neural-Diarization-vector clustering) is a speaker diarization framework that integrates

45 Dec 26, 2022
Neural Module Network for VQA in Pytorch

Neural Module Network (NMN) for VQA in Pytorch Note: This is NOT an official repository for Neural Module Networks. NMN is a network that is assembled

Harsh Trivedi 111 Nov 24, 2022
Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

Example of wrapping SPL token by ERC2-20 interface in Neon Requirements Install

7 Mar 28, 2022
Python Fanduel API (2021) - Lineup Automation

Southpaw is a python package that provides access to the Fanduel API. Optimize your DFS experience by programmatically updating your lineups, analyzin

Brandin Canfield 13 Jan 04, 2023
[AAAI 2022] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

A paper Introduction This is an official release of the paper Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation wit

Jiacheng Wang 14 Dec 08, 2022