| Name | dynamic-cast JSON |
| Version |
0.1.2a2
JSON |
| download |
| home_page | None |
| Summary | A Python library for flexible type casting of function arguments and return values based on type annotations. |
| upload_time | 2024-09-10 21:26:50 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT License
Copyright (c) 2024 Cxx-mlr
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
| keywords |
type-casting
type-annotations
dynamic-typing
python-type-hints
type-conversion
function-arguments
type-checking
callable-type
data-types
type-safety
python-decorators
runtime-type-checking
type-inference
generic-types
automatic-type-casting
type-system
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
packaging
typing-extensions
|
| Travis-CI |
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|
---
# Dynamic Casting Utility
## Introduction
This Python module provides a dynamic casting utility that enables flexible casting of function arguments and return values based on type annotations. The utility is particularly useful for handling complex type conversions and ensuring compatibility between different data types.
## Installation
To use this dynamic casting utility, you can include it in your project by importing the `dynamic_cast` function from the module.
```python
from dynamic_cast import dynamic_cast
```
## Usage
### Basic Usage
The `dynamic_cast` function can be applied to functions to dynamically cast their arguments and return values based on the provided type annotations. It supports various scenarios, including handling iterable types, callables, and more.
```python
@dynamic_cast
def example_function(arg1: int, arg2: str) -> float:
# Function logic here.
return result
```
### Advanced Usage
For more advanced scenarios, the utility provides additional functionality, such as handling generic types, callable types, and class instances.
```python
@dynamic_cast
def advanced_function(arg1: List[int], arg2: Dict[str, float]) -> Tuple[str, int]:
# Advanced function logic here.
return result_tuple
```
## Examples.
### Dynamic Casting of Arguments.
```python
@dynamic_cast
def example_function(arg1: Union[str, int], arg2: List[float]) -> Tuple[str, List[int]]:
# Function logic here
return result_tuple
```
### Dynamic Casting of Class Instances
```python
class ExampleClass:
@dynamic_cast
def __init__(self, arg1: int, arg2: str) -> None:
# Class initialization logic here
```
## Contributing
Feel free to contribute to the development of this dynamic casting utility. If you encounter any issues or have suggestions for improvement, please create an issue or submit a pull request.
## License
This dynamic casting utility is distributed under the MIT License. See the [LICENSE](LICENSE) file for more information.
---
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"description": "---\n\n# Dynamic Casting Utility\n\n## Introduction\n\nThis Python module provides a dynamic casting utility that enables flexible casting of function arguments and return values based on type annotations. The utility is particularly useful for handling complex type conversions and ensuring compatibility between different data types.\n\n## Installation\n\nTo use this dynamic casting utility, you can include it in your project by importing the `dynamic_cast` function from the module.\n\n```python\nfrom dynamic_cast import dynamic_cast\n```\n\n## Usage\n\n### Basic Usage\n\nThe `dynamic_cast` function can be applied to functions to dynamically cast their arguments and return values based on the provided type annotations. It supports various scenarios, including handling iterable types, callables, and more.\n\n```python\n@dynamic_cast\ndef example_function(arg1: int, arg2: str) -> float:\n # Function logic here.\n return result\n```\n\n### Advanced Usage\n\nFor more advanced scenarios, the utility provides additional functionality, such as handling generic types, callable types, and class instances.\n\n```python\n@dynamic_cast\ndef advanced_function(arg1: List[int], arg2: Dict[str, float]) -> Tuple[str, int]:\n # Advanced function logic here.\n return result_tuple\n```\n\n## Examples.\n\n### Dynamic Casting of Arguments.\n\n```python\n@dynamic_cast\ndef example_function(arg1: Union[str, int], arg2: List[float]) -> Tuple[str, List[int]]:\n # Function logic here\n return result_tuple\n```\n\n### Dynamic Casting of Class Instances\n\n```python\nclass ExampleClass:\n @dynamic_cast\n def __init__(self, arg1: int, arg2: str) -> None:\n # Class initialization logic here\n```\n\n## Contributing\n\nFeel free to contribute to the development of this dynamic casting utility. If you encounter any issues or have suggestions for improvement, please create an issue or submit a pull request.\n\n## License\n\nThis dynamic casting utility is distributed under the MIT License. See the [LICENSE](LICENSE) file for more information.\n\n---\n",
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