# Table of Contents

* [CodeGeneratorAtomicFlow](#CodeGeneratorAtomicFlow)
  * [CodeGeneratorAtomicFlow](#CodeGeneratorAtomicFlow.CodeGeneratorAtomicFlow)
    * [instantiate\_from\_config](#CodeGeneratorAtomicFlow.CodeGeneratorAtomicFlow.instantiate_from_config)
    * [run](#CodeGeneratorAtomicFlow.CodeGeneratorAtomicFlow.run)
* [\_\_init\_\_](#__init__)

<a id="CodeGeneratorAtomicFlow"></a>

# CodeGeneratorAtomicFlow

<a id="CodeGeneratorAtomicFlow.CodeGeneratorAtomicFlow"></a>

## CodeGeneratorAtomicFlow Objects

```python
class CodeGeneratorAtomicFlow(ChatAtomicFlow)
```

This class wraps around the Chat API to generate code from a goal. One thing worth noting is that we need to
make sure the code generator does not write repetitive code that is present in the library, so we need to inject
the function signatures in the library to the system prompts.

Please also visit https://huggingface.co/aiflows/ChatFlowModule for more parameter explaination.

*Input Interface Non Initialized (i.e. input when the chat is first initialized)*:
- `goal`
- `code_library`
- `memory_files`

*Input Interface Initialized (i.e. input when the chat is already initialized, this happens when we are calling the chat again)*:
- `goal`
- `code_library`
- `memory_files`

*Output Interface*:
- `code`
- `language_of_code`

<a id="CodeGeneratorAtomicFlow.CodeGeneratorAtomicFlow.instantiate_from_config"></a>

#### instantiate\_from\_config

```python
@classmethod
def instantiate_from_config(cls, config)
```

Instantiate a CodeGeneratorAtomicFlow from a configuration.

**Arguments**:

- `config`: Configuration dictionary.

**Returns**:

Instantiated CodeGeneratorAtomicFlow.

<a id="CodeGeneratorAtomicFlow.CodeGeneratorAtomicFlow.run"></a>

#### run

```python
def run(input_data: Dict[str, Any]) -> Dict[str, Any]
```

Run the flow.

**Arguments**:

- `input_data`: Input data.

**Returns**:

Output data.

<a id="__init__"></a>

# \_\_init\_\_