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Or module

Or

Bases: Module

Perform a logical Or operation.

It takes as input a list of data models, and returns a concatenation of them (if all are provided) otherwise it output the one that is not None.

If any input is None, it is ignored.

Table:

x1 x2 Logical Or (|)
x1 x2 x1 + x2
x1 None x1
None x2 x2
None None None

Parameters:

Name Type Description Default
**kwargs keyword arguments

Standard keyword arguments for the module.

 {}
Source code in synalinks/src/modules/merging/logical_or.py 
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@synalinks_export(
    [
        "synalinks.Or",
        "synalinks.modules.Or",
    ]
)
class Or(Module):
    """Perform a logical Or operation.

    It takes as input a list of data models,
    and returns a concatenation of them (if all are provided)
    otherwise it output the one that is not None.

    If any input is None, it is ignored.

    Table:

    | `x1`   | `x2`   | Logical Or (`|`) |
    | ------ | ------ | ---------------- |
    | `x1`   | `x2`   | `x1 + x2`        |
    | `x1`   | `None` | `x1`             |
    | `None` | `x2`   | `x2`             |
    | `None` | `None` | `None`           |

    Args:
        **kwargs (keyword arguments): Standard keyword arguments for the module.
    """

    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    async def call(self, inputs, training=False):
        output = inputs[0]
        for i in range(1, len(inputs)):
            output = await ops.logical_or(
                output,
                inputs[i],
                name=f"module_or_{i}_" + self.name,
            )
        return output