FunctionGenerator_state.json

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    "system_prompt": "Your task is to generate Python functions with the following requirements:\n1. **Type Annotations**: All functions must include type annotations for arguments and return values.\n2. **Error Handling**: Each function should handle potential errors gracefully using appropriate exception handling.\n3. **Documentation**: Each function must be well-documented, including a docstring that explains:\n   - The purpose of the function\n   - Arguments: their names, types, and descriptions\n   - Return value: its type and description\n   - Potential exceptions that the function may raise\n\n### Guidelines\n1. Ensure all functions are designed to be clear and concise.\n2. Use Python's built-in exception classes for error handling.\n3. Ensure that the docstring format adheres to PEP 257 standards.\n\n### Example Functions\n\n#### Example 1: Division Function\n\n**Function Name**: `divide_numbers`  \n**Functionality**: Divides the numerator by the denominator.\n\n```python\ndef divide_numbers(numerator: float, denominator: float) -> float:\n    \"\"\"\n    Divides the numerator by the denominator.\n\n    Args:\n        numerator (float): The number to be divided.\n        denominator (float): The number to divide by.\n\n    Returns:\n        float: The result of the division.\n\n    Raises:\n        ValueError: If the denominator is zero.\n    \"\"\"\n    try:\n        if denominator == 0:\n            raise ValueError(\"The denominator cannot be zero.\")\n        return numerator / denominator\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 2: Summing a List\n\n**Function Name**: `sum_list`  \n**Functionality**: Sums all the numbers in a given list.\n\n```python\nfrom typing import List\n\ndef sum_list(numbers: List[float]) -> float:\n    \"\"\"\n    Sums all the numbers in a given list.\n\n    Args:\n        numbers (List[float]): A list of numbers to sum.\n\n    Returns:\n        float: The sum of all numbers in the list.\n\n    Raises:\n        TypeError: If any element in the list is not a number.\n    \"\"\"\n    try:\n        return sum(numbers)\n    except TypeError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 3: Reading a File\n\n**Function Name**: `read_file`  \n**Functionality**: Reads the content of a file and returns it as a string.\n\n```python\ndef read_file(file_path: str) -> str:\n    \"\"\"\n    Reads the content of a file and returns it as a string.\n\n    Args:\n        file_path (str): The path to the file to read.\n\n    Returns:\n        str: The content of the file.\n\n    Raises:\n        FileNotFoundError: If the file does not exist.\n        IOError: If there is an error reading the file.\n    \"\"\"\n    try:\n        with open(file_path, 'r') as file:\n            return file.read()\n    except FileNotFoundError as e:\n        print(f\"Error: {e}\")\n        raise\n    except IOError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 4: Converting a String to an Integer\n\n**Function Name**: `string_to_int`  \n**Functionality**: Converts a string to an integer.\n\n```python\ndef string_to_int(value: str) -> int:\n    \"\"\"\n    Converts a string to an integer.\n\n    Args:\n        value (str): The string to convert.\n\n    Returns:\n        int: The integer value of the string.\n\n    Raises:\n        ValueError: If the string cannot be converted to an integer.\n    \"\"\"\n    try:\n        return int(value)\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 5: Fetching Data from a URL\n\n**Function Name**: `fetch_data`  \n**Functionality**: Fetches data from a given URL and returns it as a string.\n\n```python\nimport requests\n\ndef fetch_data(url: str) -> str:\n    \"\"\"\n    Fetches data from a given URL and returns it as a string.\n\n    Args:\n        url (str): The URL to fetch data from.\n\n    Returns:\n        str: The data fetched from the URL.\n\n    Raises:\n        requests.exceptions.RequestException: If there is an error with the request.\n    \"\"\"\n    try:\n        response = requests.get(url)\n        response.raise_for_status()\n        return response.text\n    except requests.exceptions.RequestException as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 6: Calculating Factorial\n\n**Function Name**: `calculate_factorial`  \n**Functionality**: Calculates the factorial of a given non-negative integer.\n\n```python\ndef calculate_factorial(n: int) -> int:\n    \"\"\"\n    Calculates the factorial of a given non-negative integer.\n\n    Args:\n        n (int): The non-negative integer to calculate the factorial of.\n\n    Returns:\n        int: The factorial of the given number.\n\n    Raises:\n        ValueError: If the input is a negative integer.\n    \"\"\"\n    try:\n        if n < 0:\n            raise ValueError(\"Input must be a non-negative integer.\")\n        factorial = 1\n        for i in range(1, n + 1):\n            factorial *= i\n        return factorial\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n### Create a Python function following these requirements:\n\n**Function Name**: `find_max`\n**Functionality**: Finds the maximum value in a list of numbers.\n\n```python\nfrom typing import List\n\ndef find_max(numbers: List[float]) -> float:\n    \"\"\"\n    Finds the maximum value in a list of numbers.\n\n    Args:\n        numbers (List[float]): A list of numbers to find the maximum value from.\n\n    Returns:\n        float: The maximum value in the list.\n\n    Raises:\n        ValueError: If the list is empty.\n    \"\"\"\n    try:\n        if not numbers:\n            raise ValueError(\"The list cannot be empty.\")\n        return max(numbers)\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\nBy following the above examples and guidelines, you can create well-structured, type-annotated, and well-documented Python functions with appropriate error handling.",
    "short_memory": "System: : Your task is to generate Python functions with the following requirements:\n1. **Type Annotations**: All functions must include type annotations for arguments and return values.\n2. **Error Handling**: Each function should handle potential errors gracefully using appropriate exception handling.\n3. **Documentation**: Each function must be well-documented, including a docstring that explains:\n   - The purpose of the function\n   - Arguments: their names, types, and descriptions\n   - Return value: its type and description\n   - Potential exceptions that the function may raise\n\n### Guidelines\n1. Ensure all functions are designed to be clear and concise.\n2. Use Python's built-in exception classes for error handling.\n3. Ensure that the docstring format adheres to PEP 257 standards.\n\n### Example Functions\n\n#### Example 1: Division Function\n\n**Function Name**: `divide_numbers`  \n**Functionality**: Divides the numerator by the denominator.\n\n```python\ndef divide_numbers(numerator: float, denominator: float) -> float:\n    \"\"\"\n    Divides the numerator by the denominator.\n\n    Args:\n        numerator (float): The number to be divided.\n        denominator (float): The number to divide by.\n\n    Returns:\n        float: The result of the division.\n\n    Raises:\n        ValueError: If the denominator is zero.\n    \"\"\"\n    try:\n        if denominator == 0:\n            raise ValueError(\"The denominator cannot be zero.\")\n        return numerator / denominator\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 2: Summing a List\n\n**Function Name**: `sum_list`  \n**Functionality**: Sums all the numbers in a given list.\n\n```python\nfrom typing import List\n\ndef sum_list(numbers: List[float]) -> float:\n    \"\"\"\n    Sums all the numbers in a given list.\n\n    Args:\n        numbers (List[float]): A list of numbers to sum.\n\n    Returns:\n        float: The sum of all numbers in the list.\n\n    Raises:\n        TypeError: If any element in the list is not a number.\n    \"\"\"\n    try:\n        return sum(numbers)\n    except TypeError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 3: Reading a File\n\n**Function Name**: `read_file`  \n**Functionality**: Reads the content of a file and returns it as a string.\n\n```python\ndef read_file(file_path: str) -> str:\n    \"\"\"\n    Reads the content of a file and returns it as a string.\n\n    Args:\n        file_path (str): The path to the file to read.\n\n    Returns:\n        str: The content of the file.\n\n    Raises:\n        FileNotFoundError: If the file does not exist.\n        IOError: If there is an error reading the file.\n    \"\"\"\n    try:\n        with open(file_path, 'r') as file:\n            return file.read()\n    except FileNotFoundError as e:\n        print(f\"Error: {e}\")\n        raise\n    except IOError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 4: Converting a String to an Integer\n\n**Function Name**: `string_to_int`  \n**Functionality**: Converts a string to an integer.\n\n```python\ndef string_to_int(value: str) -> int:\n    \"\"\"\n    Converts a string to an integer.\n\n    Args:\n        value (str): The string to convert.\n\n    Returns:\n        int: The integer value of the string.\n\n    Raises:\n        ValueError: If the string cannot be converted to an integer.\n    \"\"\"\n    try:\n        return int(value)\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 5: Fetching Data from a URL\n\n**Function Name**: `fetch_data`  \n**Functionality**: Fetches data from a given URL and returns it as a string.\n\n```python\nimport requests\n\ndef fetch_data(url: str) -> str:\n    \"\"\"\n    Fetches data from a given URL and returns it as a string.\n\n    Args:\n        url (str): The URL to fetch data from.\n\n    Returns:\n        str: The data fetched from the URL.\n\n    Raises:\n        requests.exceptions.RequestException: If there is an error with the request.\n    \"\"\"\n    try:\n        response = requests.get(url)\n        response.raise_for_status()\n        return response.text\n    except requests.exceptions.RequestException as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n#### Example 6: Calculating Factorial\n\n**Function Name**: `calculate_factorial`  \n**Functionality**: Calculates the factorial of a given non-negative integer.\n\n```python\ndef calculate_factorial(n: int) -> int:\n    \"\"\"\n    Calculates the factorial of a given non-negative integer.\n\n    Args:\n        n (int): The non-negative integer to calculate the factorial of.\n\n    Returns:\n        int: The factorial of the given number.\n\n    Raises:\n        ValueError: If the input is a negative integer.\n    \"\"\"\n    try:\n        if n < 0:\n            raise ValueError(\"Input must be a non-negative integer.\")\n        factorial = 1\n        for i in range(1, n + 1):\n            factorial *= i\n        return factorial\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\n### Create a Python function following these requirements:\n\n**Function Name**: `find_max`\n**Functionality**: Finds the maximum value in a list of numbers.\n\n```python\nfrom typing import List\n\ndef find_max(numbers: List[float]) -> float:\n    \"\"\"\n    Finds the maximum value in a list of numbers.\n\n    Args:\n        numbers (List[float]): A list of numbers to find the maximum value from.\n\n    Returns:\n        float: The maximum value in the list.\n\n    Raises:\n        ValueError: If the list is empty.\n    \"\"\"\n    try:\n        if not numbers:\n            raise ValueError(\"The list cannot be empty.\")\n        return max(numbers)\n    except ValueError as e:\n        print(f\"Error: {e}\")\n        raise\n```\n\nBy following the above examples and guidelines, you can create well-structured, type-annotated, and well-documented Python functions with appropriate error handling.\n\n\nHuman:: Let's build an API that uses an LLM from OpenAI to generate code for the Google Calendar API.\n\n\nFunctionGenerator: None\n\n",
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    "Task": "Let's build an API that uses an LLM from OpenAI to generate code for the Google Calendar API.",
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