dlms-spodes

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  • License: MIT License
  • Author: Serj Kotilevski
  • Tags dlms
  • Requires: Python >=3.11
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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*

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Verified details

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

Unverified details

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Project links
Meta
  • License: MIT License
  • Author: Serj Kotilevski
  • Tags dlms
  • Requires: Python >=3.11
Classifiers

Release history Release notifications | RSS feed

0.88.1

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

This version

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

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