dlms-spodes

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for youserj from gravatar.com youserj
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Tags dlms
  • Requires: Python >=3.12
  • Provides-Extra: dev
Classifiers
Report project as malware

Project description

DlmsStringValues

Constant names with several translator language for use in DLMS projects. Class, Attribute, Method, CommonDataType, Emun, RelationToObis, StructFields, ArbiterActors Public: py setup.py sdist twine upload dist*

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for youserj from gravatar.com youserj
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Tags dlms
  • Requires: Python >=3.12
  • Provides-Extra: dev
Classifiers

Release history Release notifications | RSS feed

This version

0.88.1

0.87.24

0.87.23

0.87.22

0.87.21

0.87.20

0.87.19

0.87.18

0.87.17

0.87.16

0.87.15

0.87.13

0.87.12

0.87.11

0.87.10

0.87.9

0.87.8

0.87.7

0.87.6

0.87.5

0.87.3

0.87.2

0.87.0

0.86.23

0.86.22

0.86.21 yanked

0.86.20 yanked

0.86.19 yanked

0.86.18 yanked

Reason this release was yanked:

bug

0.86.17 yanked

Reason this release was yanked:

bag

0.86.16

0.86.15 yanked

0.86.14

0.86.13

0.86.12

0.86.11

0.86.10

0.86.9

0.86.8

0.86.6

0.86.4

0.86.3

0.86.2

0.86.1

0.86.0

0.85.1

0.85.0

0.84.4

0.84.3

0.84.2

0.84.1

0.84.0

0.83.2

0.83.1

0.83.0

0.82.8

0.82.6

0.82.2 yanked

0.82.1 yanked

0.81.9999

0.81.5

0.81.4 yanked

0.81.2 yanked

0.80.4

0.80.1 yanked

0.79.6

0.78.7

0.77.9

0.76.9

0.76.8

0.76.7

0.76.6

0.76.5

0.76.4

0.76.3

0.76.2

0.76.1

0.76.0 yanked

0.75.12

0.75.10

0.74.13

0.74.12

0.74.11

0.74.10

0.74.9

0.74.8

0.74.7

0.74.6

0.74.5

0.74.4

0.74.3

0.74.2

0.74.1

0.74.0

0.73.1

0.73.0

0.72.5

0.72.4

0.72.3

0.72.2

0.72.1

0.72.0

0.71.13

0.71.12

0.71.11

0.71.10

0.71.9

0.71.7

0.71.6

0.71.5

0.71.4

0.71.3

0.71.2

0.71.1

0.71.0

0.70.3

0.70.2

0.70.1

0.70.0

0.69.6

0.69.5

0.69.4

0.69.3

0.69.2

0.69.1

0.69.0

0.68.3

0.68.2

0.68.1

0.68.0

0.67.0

0.66.2

0.66.1

0.66.0

0.65.1

0.65.0

0.64.4

0.64.3

0.64.2

0.64.0

0.63.2

0.63.1

0.63.0

0.62.1

0.62.0

0.61.1

0.61.0

0.60.0

0.59.1

0.59.0

0.58.8

0.58.7

0.58.6

0.58.4

0.58.3

0.58.2

0.58.1

0.58.0

0.57.4

0.57.3

0.57.2

0.57.1

0.57.0

0.56.0

0.55.5

0.55.4

0.55.3

0.55.2

0.55.1

0.55.0

0.54.2

0.54.1

0.54.0

0.53.0

0.52.4

0.52.3

0.52.2

0.52.1

0.52.0

0.51.5

0.51.4

0.51.3

0.51.2

0.51.1

0.51.0

0.50.6

0.50.5

0.50.4

0.50.3

0.50.2

0.50.1

0.50.0

0.49.2

0.49.1

0.49.0

0.48.1

0.48.0

0.47.4

0.47.3

0.47.2

0.47.1

0.47.0

0.46.0

0.45.0

0.44.4

0.44.3

0.44.2

0.44.1

0.44.0

0.43.5

0.43.4

0.43.3

0.43.2

0.43.1

0.43.0

0.42.1

0.42.0

0.41.3

0.41.2

0.41.1

0.41.0

0.40.14

0.40.13

0.40.12

0.40.11

0.40.10

0.40.9

0.40.8

0.40.7

0.40.6

0.40.5

0.40.4

0.40.3

0.40.2

0.40.1

0.40.0

0.39.0

0.38.1

0.38.0

0.37.1

0.37.0

0.36.3

0.36.2

0.36.1

0.36.0

0.35.7

0.35.6

0.35.5

0.35.4

0.35.3

0.35.2

0.35.1

0.34.17

0.34.16

0.34.15

0.34.14

0.34.13

0.34.12

0.34.11

0.34.10

0.34.9

0.34.8

0.34.7

0.34.6

0.34.5

0.34.4

0.34.3

0.34.2

0.34.1

0.34.0

0.33.3

0.33.2

0.33.1

0.33.0

0.32.4

0.32.3

0.32.2

0.32.1

0.32.0

0.31.4

0.31.3

0.31.2

0.31.1

0.31.0

0.30.3

0.30.2

0.30.1

0.30.0

0.29.3

0.29.2

0.29.1

0.29.0

0.28.2

0.28.1

0.27.2

0.27.1

0.27.0

0.26.3

0.26.2

0.26.1

0.26.0

0.25.1

0.25.0

0.24.4

0.24.3

0.24.1

0.24.0

0.23.3

0.23.2

0.23.1

0.23.0

0.22.0

0.21.0

0.20.1

0.20.0

0.19.15

0.19.13

0.19.12

0.19.11

0.19.10

0.19.9

0.19.8

0.19.7

0.19.6

0.19.5

0.19.3

0.19.2

0.19.1

0.19.0

0.18.6

0.18.5

0.18.4

0.18.3

0.18.2

0.18.1

0.18.0

0.17.0

0.16.2

0.16.1

0.16.0

0.15.1

0.15.0

0.14.4

0.14.3

0.14.1

0.14.0

0.13.1

0.13.0

0.12.0

0.11.1

0.11.0

0.10.0

0.9.0

0.8.3

0.8.2

0.8.1

0.8.0

0.7.0

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.0

0.2.9

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.1.0

Download files

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

Source Distribution

dlms_spodes-0.88.1.tar.gz (257.2 kB view details)

Uploaded Source

Built Distribution

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

dlms_spodes-0.88.1-py3-none-any.whl (194.9 kB view details)

Uploaded Python 3

File details

Details for the file dlms_spodes-0.88.1.tar.gz.

File metadata

  • Download URL: dlms_spodes-0.88.1.tar.gz
  • Upload date:
  • Size: 257.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for dlms_spodes-0.88.1.tar.gz
Algorithm Hash digest
SHA256 75cbe6789f8ce44616fb1ad64f41cf97d4cbc0d375dbd47933009feba516fb63
MD5 a8b892002b5272affc9d294e3155d498
BLAKE2b-256 a347eaf43bbc8be1b61513366d7d9bcb3bae27af268a659af37cada24cdc93e4

See more details on using hashes here.

File details

Details for the file dlms_spodes-0.88.1-py3-none-any.whl.

File metadata

  • Download URL: dlms_spodes-0.88.1-py3-none-any.whl
  • Upload date:
  • Size: 194.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for dlms_spodes-0.88.1-py3-none-any.whl
Algorithm Hash digest
SHA256 80abf9f9da67a7c5d254b9b818356c009b5d90377458ed51d7defcc4fb9e6b2f
MD5 8e4779ab940c5b26215a592974ecb1d9
BLAKE2b-256 937e0a6e63524455a6b295ef8eb0e9e4bb96dd905b439f12099ab0785606eb3d

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