ECS python implementation
Project description
encosy
Docs
Installation
Using pip
Releases of encosy can be installed using pip::
$ pip install encosy
Source releases and any binaries can be downloaded from the PyPI link.
https://pypi.org/project/encosy/
Using git and poetry
For poetry guide follow this link::
git clone https://github.com/Cruxyu/encosy.git
poetry install
Profiling
CPU
To create a profile.prof
from file_with_app import app
import cProfile
import pstats
def main():
with cProfile.Profile() as pr:
app()
stats = pstats.Stats(pr)
stats.sort_stats(pstats.SortKey.TIME)
# stats.print_stats()
stats.dump_stats("app.prof")
if __name__ == "__main__":
main()
To see viz of a profile
poetry run python -m snakeviz app.prof
Memory
To test memory run
mprof run app.py
To see the results run
mprof plot
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
encosy-3.0.0.tar.gz
(8.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
encosy-3.0.0-py3-none-any.whl
(10.6 kB
view details)
File details
Details for the file encosy-3.0.0.tar.gz.
File metadata
- Download URL: encosy-3.0.0.tar.gz
- Upload date:
- Size: 8.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.9 Linux/5.15.0-1031-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9d85f185b079a83c3b8fc6c7b9784254c2ce610c32cb402a95766222aa31bd30
|
|
| MD5 |
fd8f4179e89684bae6607e839416e27e
|
|
| BLAKE2b-256 |
d44312644cf0bc2ad165e9ad16455b41fa51079f509e1d40d71c61727361bd7b
|
File details
Details for the file encosy-3.0.0-py3-none-any.whl.
File metadata
- Download URL: encosy-3.0.0-py3-none-any.whl
- Upload date:
- Size: 10.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.9 Linux/5.15.0-1031-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a85bb2dae16c794b7346de00869d808eb3f87fb3e023ecb5787631c12b4dd2e6
|
|
| MD5 |
337d3b7c701711806202f01c06d19f28
|
|
| BLAKE2b-256 |
fa307db08e54993e6116f95b5526d5041f3d0ce5357bacea1cdf1c15272800ab
|