********************************************************************************
Step 1
********************************************************************************

------Action------
THOUGHT:
None
ACTION TYPE:
None
ACTION CONTENT:
None

-----Response-----
RESPONSE (User Message):
USER QUERY: I often get confused with complex mathematical facts. Can you fetch an interesting fact about the number 10, simplify it into an understandable summary, and based on this simple information, answer this: What are some interesting and simple properties of the number 10?
Any files mentioned in the query will be located at /root/input_data. E.g. if the query mentions example.png, it will be located at /root/input_data/example.png.

Use the code base located at `/root/mnm/mnm` to solve this query. Your current directory is `/root/playground`.

If the import path in retrieved code block says `testing/dir_name/file_name.py` and you want to import variable, function or class called `obj` from this file, then import using `from testing.dir_name.file_name import obj`.

The code base path has either been installed via pip or has been already been added to the system path via
```
import sys
sys.path.extend(['/root/mnm'])
```

********************************************************************************
Step 2
********************************************************************************

------Action------
THOUGHT:
First, I need to find a function in the `mnm` codebase that can retrieve an interesting fact about a number. Once I have the fact, I can look for a function that simplifies text to create an understandable summary. Finally, I will use the simplified information to answer the user's question about simple properties of the number 10. I will start by searching for a function that can retrieve facts about numbers.
ACTION TYPE:
search
ACTION CONTENT:
text: interesting fact AND (text: number OR text: numbers)

-----Response-----
RESPONSE (Retrieval Result):
QUERY:
text: interesting fact AND (text: number OR text: numbers)

CODE BLOCKS:
---
file_path=mnm/tool_api.py
lines=[879, 893]
type=FUNCTION
content={
def get_math_fact(number: str, ckpt=None):
    """
    It provides interesting math facts about numbers.
    """
    url = f"https://numbersapi.p.rapidapi.com/{number}/math"
    params = {"fragment": "true", "json": "true"}
    headers = {
        "X-RapidAPI-Key": RAPID_API_KEY,
        "X-RapidAPI-Host": "numbersapi.p.rapidapi.com",
    }
    response = requests.get(url, headers=headers, params=params)
    result_formatted = response.json()

    return result_formatted
}
---
file_path=mnm/tool_api.py
lines=[895, 909]
type=FUNCTION
content={
def get_trivia_fact(number: str, ckpt=None):
    """
    It provides interesting trivia facts about number.
    """
    url = f"https://numbersapi.p.rapidapi.com/{number}/trivia"
    params = {"fragment": "true", "json": "true"}
    headers = {
        "X-RapidAPI-Key": RAPID_API_KEY,
        "X-RapidAPI-Host": "numbersapi.p.rapidapi.com",
    }
    response = requests.get(url, headers=headers, params=params)
    result_formatted = response.json()

    return result_formatted
}
---
file_path=mnm/tool_api.py
lines=[863, 877]
type=FUNCTION
content={
def get_year_fact(year: str, ckpt=None):
    """
    It provides interesting facts about years.
    """
    url = f"https://numbersapi.p.rapidapi.com/{year}/year"
    params = {"fragment": "true", "json": "true"}
    headers = {
        "X-RapidAPI-Key": RAPID_API_KEY,
        "X-RapidAPI-Host": "numbersapi.p.rapidapi.com",
    }
    response = requests.get(url, headers=headers, params=params)
    result_formatted = response.json()

    return result_formatted
}
---
(6 additional code blocks not shown. Search again with the same query to see additional results.)

Prototypes for the next 4 out of 4 classes/functions found in unexpanded results (search again with the same query to see details):
def get_date_fact(date: str, ckpt=None): ... # mnm/tool_api.py
def image_crop(image, object, ckpt=None): ... # mnm/tool_api.py
def image_segmentation(image, ckpt=MODEL_SELECTION['image_segmentation']): ... # mnm/tool_api.py
def object_detection(image, ckpt=MODEL_SELECTION['object_detection']): ... # mnm/tool_api.py

********************************************************************************
Step 3
********************************************************************************

------Action------
THOUGHT:
The function `get_math_fact` from the `mnm` codebase can be used to retrieve an interesting math fact about the number 10. Next, I will search for a function that can simplify text to create an understandable summary. Once I have the simplified text, I can use it to answer the user's question about simple properties of the number 10.
ACTION TYPE:
search
ACTION CONTENT:
text: simplify AND text: summary

-----Response-----
RESPONSE (Retrieval Result):
QUERY:
text: simplify AND text: summary

CODE BLOCKS:
---
file_path=mnm/tool_api.py
lines=[143, 163]
type=FUNCTION
content={
def text_summarization(text: str, ckpt=MODEL_SELECTION['text_summarization']):
    """
    Summarizes a given text into a few sentences using a pre-trained model.
    
    Args:
        text (str): The text to be summarized.
        ckpt: The checkpoint or model identifier to use for the summarization pipeline. Defaults to a pre-selected model checkpoint.
    
    Returns:
        dict: A dictionary containing the summarized text under the key 'text'.
    
    Examples:
        summary = text_summarization("The quick brown fox jumps over the lazy dog.")
        print(summary)  # Outputs a summarized version of the input text.
    """
    ...
}
---
file_path=mnm/tool_api.py
lines=[985, 1011]
type=FUNCTION
content={
def wikipedia_simple_search(text: str, ckpt=None):
    """
    Performs a basic search on Wikipedia to retrieve a summary of the most relevant page.
    
    Args:
        text (str): The search query text.
        ckpt: Unused parameter, can be anything (default is None).
    
    Returns:
        dict: A dictionary containing the formatted text summary of the most relevant Wikipedia page.
    
    Raises:
        This function may raise exceptions related to network issues or JSON decoding if the Wikipedia API changes or is unreachable.
    
    Examples:
        result = wikipedia_simple_search("Python programming language")
        # result might be something like:
        # {'text': 'Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation.'}
    """
    ...
}
---
file_path=mnm/tool_api.py
lines=[195, 226]
type=FUNCTION
content={
def automatic_speech_recognition(audio: str, ckpt=MODEL_SELECTION['automatic_speech_recognition']):
    """
    Performs automatic speech recognition on an audio file using a pre-trained model.
    
    Args:
        audio (str): The file path to the audio file to be transcribed.
        ckpt (str, optional): The checkpoint identifier of the pre-trained model to use. Defaults to the model specified in MODEL_SELECTION["automatic_speech_recognition"].
    
    Returns:
        dict: A dictionary containing the transcription of the audio file with the key 'text'.
    
    Raises:
        ImportError: If the required libraries (librosa, transformers) are not installed.
    
    Examples:
        >>> transcription = automatic_speech_recognition("path/to/audio/file.wav")
        >>> print(transcription)
        {'text': 'The transcribed text of the audio.'}
    """
    ...
}
---
(4 additional code blocks not shown. Search again with the same query to see additional results.)

Prototypes for the next 3 out of 3 classes/functions found in unexpanded results (search again with the same query to see details):
def image_segmentation(image, ckpt=MODEL_SELECTION['image_segmentation']): ... # mnm/tool_api.py
def background_blur(image, object, ckpt=None): ... # mnm/tool_api.py
def color_pop(image, object, ckpt=None): ... # mnm/tool_api.py

********************************************************************************
Step 4
********************************************************************************

------Action------
THOUGHT:
The function `text_summarization` from the `mnm` codebase can be used to summarize the interesting math fact about the number 10 into a simpler form. I will use the `get_math_fact` function to retrieve the fact and then `text_summarization` to create the summary. After obtaining the simplified text, I will provide the user with simple properties of the number 10 based on the information.
ACTION TYPE:
code
ACTION CONTENT:
from mnm.tool_api import get_math_fact, text_summarization

# Fetch an interesting math fact about the number 10
math_fact = get_math_fact(number="10")

# Simplify the math fact into an understandable summary
simplified_summary = text_summarization(text=math_fact['text'])

# Output the simplified summary and answer the user's question
print("Simplified Summary:", simplified_summary['text'])
print("Interesting and simple properties of the number 10 based on the simplified information:", simplified_summary['text'])

-----Response-----
RESPONSE (Execution Result):
STDOUT:
Simplified Summary: The number system used in everyday life, the decimal system, has 10 digits: 0,1,2,3,4,5,6,7,8,
Interesting and simple properties of the number 10 based on the simplified information: The number system used in everyday life, the decimal system, has 10 digits: 0,1,2,3,4,5,6,7,8,

RELEVANT VARIABLES (only shown if string rep. has changed after code exec):
{"get_math_fact": <function get_math_fact at 0x7f5e7070bd00>, "text_summarization": <function text_summarization at 0x7f5e7070aef0>, "math_fact": {'text': 'the number system used in everyday life, the decimal system, has 10 digits: 0,1,2,3,4,5,6,7,8,9', 'number': 10, 'found': True, 'type': 'math'}, "simplified_summary": {'text': 'The number system used in everyday life, the decimal system, has 10 digits: 0,1,2,3,4,5,6,7,8,'}}

********************************************************************************
Step 5
********************************************************************************

------Action------
THOUGHT:
The execution result shows that we have successfully retrieved an interesting math fact about the number 10 and provided a simplified summary. The summary indicates that the number 10 is significant because it is the base of the decimal system, which is used in everyday life and has 10 digits. I will now summarize the solution using the code_summary action.
ACTION TYPE:
code_summary
ACTION CONTENT:
from mnm.tool_api import get_math_fact, text_summarization
output0 = get_math_fact(number="10")
output1 = text_summarization(text=output0['text'])

-----Response-----
RESPONSE (User Message):
Summary received and stored.

********************************************************************************
Step 6
********************************************************************************

------Action------
THOUGHT:
The task has been completed successfully, and the user has acknowledged receipt of the summary.
ACTION TYPE:
done
ACTION CONTENT:
True

-----Response-----
None