# Simple cache¶

This example shows the manipulation of SimpleCache instances. This cache only stores the last inputs and outputs stored.

from __future__ import annotations

from gemseo.api import configure_logger
from gemseo.caches.simple_cache import SimpleCache
from numpy import array

configure_logger()

<RootLogger root (INFO)>


## Import¶

In the following lines, we import the array and the SimpleCache classes.

## Create¶

We can create an instance of the SimpleCache class with the following line:

cache = SimpleCache()

# The cache information can be displayed easily:
print(cache)

Name: SimpleCache
Type: SimpleCache
Tolerance: 0.0
Input names: []
Output names: []
Length: 0


## Cache¶

It is possible to manually add some data into the cache by using the following lines:

cache[{"x": array([1.0])}] = ({"y": array([2.0])}, None)


We can add another entry to the cache, and we can then see that its length is still one. Indeed, as previously mentioned, the SimpleCache only enable to store one evaluation.

cache[{"x": array([2.0])}] = ({"y": array([3.0])}, None)
print(cache)

Name: SimpleCache
Type: SimpleCache
Tolerance: 0.0
Input names: ['x']
Output names: ['y']
Length: 2


## Get all data¶

We can display the lenght and the data contained in the cache. As mentionned before, we can see that only the last inputs and outputs cached are available:

print(len(cache))
for data in cache:
print(data)

2
CacheEntry(inputs={'x': array([2.])}, outputs={'y': array([3.])}, jacobian={})


## Get last cached data¶

We can also print the last cached input and output data. For this cache, the last cached inputs and ouputs are also the only ones cached.

last_entry = cache.last_entry
print(last_entry.inputs)
print(last_entry.outputs)

{'x': array([2.])}
{'y': array([3.])}