# Filtering Models

by: Chris Cave & Meera Machado

(Feyn version 2.0 or newer)

You can filter a list of `Model`

s you've sampled from a `QLattice`

, to only include `Model`

s that you're interested in. This can be achieved using the builtin Python filter function. Some of the more common use cases require some code, so we've included convenience functions to help.

Here's a code snippet to sample some models we can filter on:

```
import feyn
# sample a list of models
ql = feyn.connect_qlattice()
models = ql.sample_models(
input_names = ["Hello", "World"],
output_name = "Hola!"
)
```

Here's a list of filters that `feyn`

ships with, but you can also make your own:

## Complexity

This filters `Model`

s of a certain complexity.

`from feyn.filters import Complexity`

# Get only models of complexity 2

f = Complexity(complexity=2)

f_models = list(filter(f, models))

## ContainsInputs

This filters `Model`

s that contain the provided input(s).

`from feyn.filters import ContainsInputs`

# Get models that contain the "World" input

f = ContainsInputs("World")

f_models = list(filter(f, models))

# Get models that contain both "Hello" and "World" inputs

f = ContainsInputs(["Hello", "World"])

f_models = list(filter(f, models))

## ContainsFunctions

This filters `Model`

s that **only** contain the provided function(s).

`from feyn.filters import ContainsFunctions`

# Get models that contains only the "Gaussian" function

f = ContainsFunctions("gaussian")

f_models = list(filter(f, models))

# Get models that contain only the "Gaussian" and "log" function

f = ContainsFunctions(["gaussian", "log"])

f_models = list(filter(f, models))

## ExcludeFunctions

This filters `Model`

s that exclude the provided function(s).

`from feyn.filters import ExcludeFunctions`

# Get models that does not contains the "Gaussian" function

f = ExcludeFunctions("gaussian")

f_models = list(filter(f, models))

# Get models that do not contain either a "Gaussian" or a "log" function

f = ExcludeFunctions(["gaussian", "log"])

f_models = list(filter(f, models))

`filter`

Custom You can supply any function with the following signature to create your own filter:

`def my_custom_filter(model):`

return "World" in model.inputs

# Get models that contains the "World" input

f_models = list(filter(my_custom_filter, models))