> For the complete documentation index, see [llms.txt](https://docs.zama.org/concrete/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zama.org/concrete/2.7-1/compilation/reuse_arguments.md).

# Reusing arguments

Encryption can take quite some time, memory, and network bandwidth if encrypted data is to be transported. Some applications use the same argument, or a set of arguments as one of the inputs. In such applications, it doesn't make sense to encrypt and transfer the arguments each time. Instead, arguments can be encrypted separately, and reused:

```python
from concrete import fhe

@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def add(x, y):
    return x + y

inputset = [(2, 3), (0, 0), (1, 6), (7, 7), (7, 1), (3, 2), (6, 1), (1, 7), (4, 5), (5, 4)]
circuit = add.compile(inputset)

sample_y = 4
_, encrypted_y = circuit.encrypt(None, sample_y)

for sample_x in range(3, 6):
    encrypted_x, _ = circuit.encrypt(sample_x, None)

    encrypted_result = circuit.run(encrypted_x, encrypted_y)
    result = circuit.decrypt(encrypted_result)

    assert result == sample_x + sample_y
```

If you have multiple arguments, the `encrypt` method would return a `tuple`, and if you specify `None` as one of the arguments, `None` is placed at the same location in the resulting `tuple` (e.g., `circuit.encrypt(a, None, b, c, None)` would return `(encrypted_a, None, encrypted_b, encrypted_c, None)`). Each value returned by `encrypt` can be stored and reused anytime.

{% hint style="warning" %}
The ordering of the arguments must be kept consistent! Encrypting an `x` and using it as a `y` could result in undefined behavior.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.zama.org/concrete/2.7-1/compilation/reuse_arguments.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.