A quick and dirty use of Python function annotations to apply strong typing to functions and methods at runtime. If inputs or outputs of a function do not match the type specified in the function annotation, a type error will be thrown. This strong typing is applied to individual functions/classes through a decorator. More documentation is available at the project homepage.
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Release files for dynamight 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dynamight-0.1.0.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dynamight-0.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 4.3 kB
Release files / dynamight-0.1.0.tar.gz
| Download URL | dynamight-0.1.0.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / dynamight-0.1.0-py2.py3-none-any.whl
| Download URL | dynamight-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
