Pyturbo Package
Author: Lijun Yu
Email: lijun@lj-y.com
A pipeline system for efficient execution.
Installation
pip install py-turbo
Introduction
Pyturbo utilizes multiple level of abstract to efficiently execute parallel tasks.
- Worker: a process.
- Stage: a group of peer workers processing the same type of tasks.
- Task: a data unit transferred between stages. At each stage, a task is processed by one worker and will result in one or multiple downstream tasks.
- Pipeline: a set of sequential stages.
- Job: a data unit for a pipeline, typically a wrapped task for the first stage.
- Result: output of a job processed by one pipeline, typically a set of output tasks from the last stage.
- System: a set of peer pipelines processing the same type of jobs.
Get Started
from pyturbo import ReorderStage, Stage, System
class Stage1(Stage): # Define a stage
def __init__(self, resources):
... # Optional: set resources and number of workers
def process(self, task):
... # Process function for each worker process. Returns one or a series of downstream tasks.
... # Repeat for Stage2, Stage3
class Stage4(ReorderStage): # Define a reorder stage, typically for the final stage
def get_sequence_id(self, task):
... # Return the order of each task. Start from 0.
def process(self, task):
...
class MySystem(System):
def get_stages(self, resources):
... # Define the stages in a pipeline with given resources.
def get_results(self, results_gen):
... # Define how to extract final results from output tasks.
def main():
system = MySystem(num_pipeline) # Set debug=True to run in a single process
system.start() # Build and start system
jobs = [...]
system.add_jobs(jobs) # Submit jobs
for job in system.wait_jobs(len(jobs)):
print(job.results) # Process result
system.end() # End system
Options
See options.md
Demo
See demo.py for an example implementation.
Version History
See version.md.
1 maintainer
Metadata
1 maintainer
Release files for py-turbo 0.4.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| py-turbo-0.4.5.tar.gz | 9.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| py_turbo-0.4.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.1 kB
Release files / py-turbo-0.4.5.tar.gz
| Download URL | py-turbo-0.4.5.tar.gz |
|---|---|
| Size | 9.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b7cd9b9b9c87828358a095eb5816e4f8700378c64922ac3a6a62ab76339742db
|
|
BLAKE2b-256 checksum How to use checksums |
b59ce93a35aa59fded3e994bbe1ed4c8131bc91fc400a269b39e5e0a20b1df96
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.9.0
|
Release files / py_turbo-0.4.5-py3-none-any.whl
| Download URL | py_turbo-0.4.5-py3-none-any.whl |
|---|---|
| Size | 24.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
80622c2f5167f2a38c4c51d38fab6ab337d5e5eeaa87970dbf446e4cdf547b40
|
|
BLAKE2b-256 checksum How to use checksums |
8d739df44d1f820a6595625bb1ac6364294440ab16de65bf6001f9184b79cc67
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.9.0
|
