Skip to main content

A fast and lightweight logging library for Python

Project description

picologging

Status This project is an early-alpha. There are some incomplete features (see Issues).

Picologging is a high-performance logging library for Python. picologging is 4-10x faster than the logging module in the standard library.

Picologging is designed to be used as a drop-in replacement for applications which already use logging, and supports the same API as the logging module.

Installation

$ pip install picologging

Usage

Import picologging as logging to use picologging instead of the standard library logging module.

This patches all the loggers registered to use picologging loggers and formatters.

import picologging as logging
logging.basicSetup()

logger = logging.getLogger()

logger.info("A log message!")

logger.warning("A log message with %s", "arguments")

Benchmarks

Run richbench benchmarks/ with the richbench CLI to see the benchmarks, here is a sample on macOS 11:

Benchmark Min Max Mean Min (+) Max (+) Mean (+)
LogRecord() 0.228 0.244 0.234 0.031 (7.5x) 0.031 (7.8x) 0.031 (7.6x)
Formatter().format() 0.077 0.079 0.078 0.005 (15.3x) 0.005 (14.9x) 0.005 (15.1x)
Formatter().format() with date 0.299 0.359 0.313 0.083 (3.6x) 0.092 (3.9x) 0.086 (3.6x)
Logger(level=DEBUG).debug() 0.725 0.741 0.730 0.069 (10.6x) 0.070 (10.6x) 0.069 (10.6x)
Logger(level=DEBUG).debug() with args 0.750 0.757 0.754 0.090 (8.3x) 0.095 (8.0x) 0.093 (8.1x)
Logger(level=INFO).debug() 0.014 0.015 0.015 0.003 (4.1x) 0.004 (3.7x) 0.004 (3.9x)
Logger(level=INFO).debug() with args 0.016 0.017 0.016 0.004 (4.1x) 0.004 (4.2x) 0.004 (4.1x)

Limitations

See docs/limitations.md

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

picologging-0.1.0.tar.gz (130.6 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

picologging-0.1.0-cp311-cp311-win_amd64.whl (57.2 kB view details)

Uploaded CPython 3.11Windows x86-64

picologging-0.1.0-cp311-cp311-win32.whl (50.8 kB view details)

Uploaded CPython 3.11Windows x86

picologging-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (133.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

picologging-0.1.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (145.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

picologging-0.1.0-cp311-cp311-macosx_10_15_x86_64.whl (66.7 kB view details)

Uploaded CPython 3.11macOS 10.15+ x86-64

picologging-0.1.0-cp311-cp311-macosx_10_15_universal2.whl (121.6 kB view details)

Uploaded CPython 3.11macOS 10.15+ universal2 (ARM64, x86-64)

picologging-0.1.0-cp310-cp310-win_amd64.whl (57.2 kB view details)

Uploaded CPython 3.10Windows x86-64

picologging-0.1.0-cp310-cp310-win32.whl (50.7 kB view details)

Uploaded CPython 3.10Windows x86

picologging-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (133.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

picologging-0.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (145.0 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

picologging-0.1.0-cp310-cp310-macosx_10_15_x86_64.whl (66.6 kB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

picologging-0.1.0-cp310-cp310-macosx_10_15_universal2.whl (121.4 kB view details)

Uploaded CPython 3.10macOS 10.15+ universal2 (ARM64, x86-64)

picologging-0.1.0-cp39-cp39-win_amd64.whl (57.2 kB view details)

Uploaded CPython 3.9Windows x86-64

picologging-0.1.0-cp39-cp39-win32.whl (50.7 kB view details)

Uploaded CPython 3.9Windows x86

picologging-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (133.7 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

picologging-0.1.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (145.0 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

picologging-0.1.0-cp39-cp39-macosx_10_15_x86_64.whl (66.6 kB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

picologging-0.1.0-cp39-cp39-macosx_10_15_universal2.whl (121.4 kB view details)

Uploaded CPython 3.9macOS 10.15+ universal2 (ARM64, x86-64)

picologging-0.1.0-cp38-cp38-win_amd64.whl (57.1 kB view details)

Uploaded CPython 3.8Windows x86-64

picologging-0.1.0-cp38-cp38-win32.whl (50.6 kB view details)

Uploaded CPython 3.8Windows x86

picologging-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (133.5 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

picologging-0.1.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (144.7 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

picologging-0.1.0-cp38-cp38-macosx_10_15_x86_64.whl (66.4 kB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

picologging-0.1.0-cp38-cp38-macosx_10_15_universal2.whl (121.0 kB view details)

Uploaded CPython 3.8macOS 10.15+ universal2 (ARM64, x86-64)

picologging-0.1.0-cp37-cp37m-win_amd64.whl (57.1 kB view details)

Uploaded CPython 3.7mWindows x86-64

picologging-0.1.0-cp37-cp37m-win32.whl (50.5 kB view details)

Uploaded CPython 3.7mWindows x86

picologging-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (133.6 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

picologging-0.1.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (144.9 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

picologging-0.1.0-cp37-cp37m-macosx_10_15_x86_64.whl (66.1 kB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file picologging-0.1.0.tar.gz.

File metadata

  • Download URL: picologging-0.1.0.tar.gz
  • Upload date:
  • Size: 130.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0.tar.gz
Algorithm Hash digest
SHA256 4adf59eab010a0bb7709772fa18eb3f19e557d736d28368f8a1f8c9f3bdfbf43
MD5 28465cf8a3b794b159838e7a170cac87
BLAKE2b-256 df2344f4a1efcd2b968e10f31fee081a4458708cd18c0df23ffb52d86d9ae87c

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 df3fcb5a9761dd3c22f78e25d3beb69e11c5d007a018b1903b4de898ffb0e7c7
MD5 a8fb6a592eaac32d2f33c94e38b2bb06
BLAKE2b-256 e1eb781b4b5c9d502fb0fbcae28721cfc1a815974d3b7598d82756e7addd5bc0

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: picologging-0.1.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 50.8 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 8d85a83179c30bccd770cd900c2424662f83fe617bc996c4754f1025415b8df0
MD5 3b6ca05f34bff7d58ea62861f7d60d53
BLAKE2b-256 dfc61942ee5566deafa61fddc5ee718719b6a5a466674da0972d7aaebdf57de8

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b06ad5bef552de5ec48c4732dd64dc2b5ac68577e13cc9b53062c37502abfc15
MD5 00bc968e4f254dcc5c7241ad0f472ed4
BLAKE2b-256 007aa03e0e8f5cd24173b1a97087a01498cc86ad5ca21c8187ec4e739aada7fa

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 11eb80d73ba19302b9e3ece1b72f133aefddf74f876fe7e5d101b42e89371897
MD5 09498e6a649b93908676ec476dba5656
BLAKE2b-256 1bbcfe385622b3c7d85c4dbc1de677951ed0653a33b78531ed7539f4e108572b

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 fc955a89130b5b7eb3e9869affafde68ae650b9ae76da60101e40f5bc7c1b407
MD5 044cbd9f2d8602a5026e6aa2f755d59b
BLAKE2b-256 ad108ced01cfab79c70751a00f8fa382c9244f7ca6066fe7be1a3409858755a0

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp311-cp311-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp311-cp311-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 bf83280cfb81496a41c49a06310dce02319c88b66e4ca2ac3e81dc74e94aaea8
MD5 cb34e7356f2891e24f7ec7c9780d1d68
BLAKE2b-256 c6f96aaa822a64258bbaa58db1f566bb69d80c14dca313286bd7f354f8617c4f

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 284e56bf308974b1e465805853568403945c766ec033a9e75ee455360bad5cbd
MD5 487bdc04d19eaffbb7b8c6f928835ef6
BLAKE2b-256 d304c2022d35d9cc8ce16cffd1cebdbaafe8bc8310f5cf64be715ac9a87805bf

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: picologging-0.1.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 50.7 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 3af0b414e7a19d2a951f946d2c4dae8ad32a55901543354e0c10c91d8dc72699
MD5 87a928425e2d56fa445f873287f0f04f
BLAKE2b-256 a707c7b9cbbf32798e1154a0fa091fe71a5f7149cf87c9262e3ce1de7f85448c

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bcf5893621559e642153a793b7f71ea8ea67d4be87b3c48dfab01c72122103a4
MD5 50b5de86b1cc902b21479de347f0c6e9
BLAKE2b-256 3a43de5bcf807988070c06941ad30e38aa61909a56e9662964864cdd5ba96f0d

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4debbdf38e540c3e98f69d8e1f9a7b1cd54afc9ebc4bf2b29d127028e65cf835
MD5 d0772b4e23a8154186b0fb42812c3c82
BLAKE2b-256 13c19d15bf632bb5b2eebd3d2c6aa15dd749b8081a166b1d2a548ae24383aa51

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 033ded41deacb5fabc8a49eb9d1d8001e33430b9d10cd2428ba246c6e7133ba9
MD5 2272f0a3c38c53584943fa849603de27
BLAKE2b-256 9a60cca951e774d3251a375a874dfc5611c94a273b89b07038cb38682616729d

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp310-cp310-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp310-cp310-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 bedcd63b3451eceddd4f47b867df3c5e6f309657c53dfda5d31e5241e724f65f
MD5 952f80ab276e60b65d1f7e400e07ac41
BLAKE2b-256 8e367d804411f672943918251c99d6073a095f5eccc814a049c9ea3bced3ae8d

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: picologging-0.1.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 57.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 22da393f020e4dfc7c378002eba63dc8cc562212b5241fb42119e2140c11e8d6
MD5 7a7a54960d16337b1094220acf9e1217
BLAKE2b-256 eabbcff344b283803b69c7562c1c108dc16e2b3ed5e41b4fcfcc743e2cebe83a

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: picologging-0.1.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 50.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 35a508bcf9af8aaeea9cb3827968b3300536e3bc93377125118d60cb7cf98c4b
MD5 61c3293177375fa03cc01b218095709e
BLAKE2b-256 fe8e7a1704bf5ca542af5f9f838cad1ee4cfb570eb4b46825456548646d47a34

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 361accd4150cab5ae678afc8ada68a5a89dfa84c648cdbb3537073ee19e184ab
MD5 f8c77766ce74cd00ec6ac92a9d85a17e
BLAKE2b-256 da52e26896d43952426565c591ef9be7d2485e2391a32fc6e2d9a9b1f92e0fac

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7db112aef8c825bebd3186dabbf9e6ee182b35c566c728e40c8b122b5188ccac
MD5 2c8be54b31717d693f68f790bc3feb5a
BLAKE2b-256 9d40fe441e3d1c66bc5bd158a71c89ef460b0ffaf0f5c1f5b39e8eecb59dd32d

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6925173e2f910c5bf7f13e9de2f06c99e357c2f179362cc33affe707e4c008d1
MD5 9450ac2f4f64b4ecb0cd0c1e1b54a6ba
BLAKE2b-256 14f0b2f0ab52fe672eaca32d3bed2683c20d9d149b36181a495a1690c9e73df7

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp39-cp39-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp39-cp39-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 2c6d127dd92a1025a9c84ee0d0073f189c0d4387dafe5b0e625ce8cf68cfe25f
MD5 69cfb4d214c91e43f1b2ce647366c871
BLAKE2b-256 3d2fed9e9546370a7d522a6e44636cf86b7ee5452d1e76b3d9ec88b694fa8bdd

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: picologging-0.1.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 57.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4679f64b89f37b2036b3fb3d15a9fdc5c839359c77b6b919aa08f60ff77a2fa7
MD5 944f8fa52f9aa568119ce5ae2ecc8b89
BLAKE2b-256 00d8af81313b19b68a1893fc3dd9aa1fd8af538d9c4eda81130491b82e7dc924

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: picologging-0.1.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 50.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 215125a8de20ca0ac10441c77ca4542a7483da7a17dc1f3389be10a100088119
MD5 192943987a88d9f2331bf96befeb6108
BLAKE2b-256 42c8571a8c932fe43dc91d57fcf7ea570116ea6d515db307549330a2c4ae7bba

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9041869a0c22a35e3a97409a72b1755052d20e795bf28949d84c5fe1c6a3ffad
MD5 8a9eded35ff6e6f64266207d7d2d22f6
BLAKE2b-256 5ac3b11e551b7662ff2694ad39d3fcf2a57bdaba73a2c5c474b1da689e504e37

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b06ab14e460a9386640f6ec96c78bff6dd5cd8689c9af6589ad5aa2d6b547054
MD5 bb8d48b86efc8dce3e36c1dbd247cedb
BLAKE2b-256 88315e6687ca670518abe1fba8c60b5d95e8f44447467e862c04a44eddc25f92

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 1e957440e35169fb13e4682ed78984a52997a2537e05e97f1d3e80e5320a7a6a
MD5 b20a04e1b79f1aa9f3e4d296be7322e4
BLAKE2b-256 3202fd3cf9eb7bcf996165ff937e5c15dc7e662e1d5d0637a88f16d3e6e4d37a

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp38-cp38-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp38-cp38-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 b045deaf5bbe08e3f27bd6ad9b8386cc63765aa755e42ca325609606bf9e7cff
MD5 142da3bb55881b2e7d32ff6a46797bbc
BLAKE2b-256 f688c072ba6a23dc696cd8c9c101e44178e3beb42c26f41780178ff1b48a146e

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: picologging-0.1.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 57.1 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 475439d052f19450d03ec624ba2ca302a292eed44e67b581de356aad46bf8a68
MD5 fb2c7856ae0e29c2cd8a376ae4240a1e
BLAKE2b-256 1d84c23871333c6aa65e0116f47e74cf1c212eb80cd7fc363d379e37d98189c5

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: picologging-0.1.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 50.5 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for picologging-0.1.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 76d31dbd7235eb3ab0e646c1ca4ca73d74be43b90ac96c2fe067c4f130e0acf7
MD5 70b1d6ff098d814030311545ae3ecdf4
BLAKE2b-256 d99fe2d7948f11edbccbb0e5df2a5d1ef0a309556b1673eec919357f316822c0

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3296e45cbe2b2125d35a89d0f2d70761992210fdcaf24e20b869ae288ccd2f19
MD5 f59cfb5de64979f4fe09dd4caeac471a
BLAKE2b-256 7e32217f8f9f573201b4fdff6624e3d020c8ce7bb38107a2a2854f36db76041f

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 73c6344c1514f45b6a8e4ea3be94bd3e5cd0d9daa32ae022d262e92c0d54989d
MD5 ae3262c711b3abd5574004f40c286d64
BLAKE2b-256 400113f817d4687281cd546e4617df737bd2d593a2b68fd410dfd6715b4f4286

See more details on using hashes here.

File details

Details for the file picologging-0.1.0-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for picologging-0.1.0-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 63ba6ee752367b78f926e0d4d133521df78d730f4d7589042209ade6456397b3
MD5 8c946ae8d4bf05ab74a6a74f206ece12
BLAKE2b-256 fdd15c1fb0be813d1e3e9704b27ad798391f8ffe4216ac4fb1d4ad53edc8f5c8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page