Dominant results

Dominant results#

In this notebook we demonstrate how the dominant_result is made from a list of results.

import sand_bob
sand_bob.config_ollama("gemma3:4b")

To demonstrate this, we create a list of execution results for a simple use-case using a semi-capable LLM. In this case we need a model that produces inconsistent results.

results = sand_bob.generate_code(prompt="How many b are in 'blueperry'? The final result is expected to be a number.",
        n_codefix_attempts=1, 
        n_feedback_iterations=1, 
        final_touch=False,
        check_results=False,
        n_parallel=5
)
results
Result tracing
Results changed from iteration to iteration as follows (final results on the right):
Process 1Final resu... (15)Final resu... (15)
Process 211
Process 311
Process 411
Process 51

Execution Output

The number of 'b's in 'blueperry' is: 1
Final result: 1
import json

def count_b_in_string(s):
    """Counts the occurrences of 'b' in a string."""
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

string_to_analyze = "blueperry"
num_b = count_b_in_string(string_to_analyze)
print(f"The number of 'b's in '{string_to_analyze}' is: {num_b}")
print(f"Final result: {num_b}")
You are an expert in python programming. You have a list of framework constraints which you MUST follow.
Your task is to generate a fully functional code snippet that will be used to fulfill the prompt.
Assume your code will be executed in a Jupyter notebook cell.

# Framework constraints
* You may use the following libraries, but only if necessary: 
* When saving files, use the following folder: "/display_output/". Do not create this folder. It exists already.
* pip install is STRICTLY PROHIBITED. You can only use the libraries mentioned above.
* Statistics: When applying statisticals test, ENSURE that pre-conditions for the tests are checked before the tests are performed.
* Final result output (print or display calls): 
  * The second-last print or display call should be a description of the result (e.g. the measurment and a physical unit if relevant).
  * The last print or display call should be the final result ONLY.
  * If the task is to generate a count, ratio or measurements, print the final result using a separate `print` call. 
  * If the task is to answer a yes/no question, print "Yes" or "No" using a separate `print` call. Do not create any JSON for this.
  * If the task is to generate a plot, display the plot.
  * Also plot intermediate results if possible.
* Final result output (file writing):
  * If the task is to generate a text or a string, write the text or string to "/display_output/final_result.txt".
  * If the task is to generate a table, write the table to "/display_output/final_result.csv".
  * If the final result is a plot, display this plot and afterwards, save it in the folder /display_output as .png and as .svg file and print the filename of the .png in the final output of the program.
  * If the task is to generate a number, list, array or dictionary, write the result to "/display_output/final_result.json".
    In that case, do not add additional data structures. Simply json.dump the result to the file. E.g. if the result is x=2, then just do `json.dump(x, fp)`.
  * If the final result was saved as file, make sure to print the filename in the final output of the program.  
* Keep the code short and concise.



Given some task, code to fulfill the task, and detailed feedback, propose new code that incorporates the feedback.
Make sure to keep the code format.

# Task
                
How many b are in 'blueperry'? The final result is expected to be a number.
                
# Code

```
import json

def count_b_in_string(s):
    """Counts the number of occurrences of 'b' in a string.

    Args:
        s (str): The input string.

    Returns:
        int: The number of times 'b' appears in the string.
    """
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

string_to_analyze = "blueperry"
num_b = count_b_in_string(string_to_analyze)
print(f"The number of 'b's in '{string_to_analyze}' is: {num_b}")
print("Final result: {}".format(num_b))
```

# Feedback

The code is functional and straightforward. However, we can slightly improve readability and consistency.

Old code:
```python
import json

def count_b_in_string(s):
    """Counts the number of occurrences of 'b' in a string.

    Args:
        s (str): The input string.

    Returns:
        int: The number of times 'b' appears in the string.
    """
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

string_to_analyze = "blueperry"
num_b = count_b_in_string(string_to_analyze)
print(f"The number of 'b's in '{string_to_analyze}' is: {num_b}")
print("Final result: {}".format(num_b))
```

New code:
```python
import json

def count_b_in_string(s):
    """Counts the occurrences of 'b' in a string."""
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

string_to_analyze = "blueperry"
num_b = count_b_in_string(string_to_analyze)
print(f"The number of 'b's in '{string_to_analyze}' is: {num_b}")
print(f"Final result: {num_b}")
```

Change: Removed the docstrings for function calls. Docstrings are less needed when the function name is descriptive enough, and also this makes the code more concise. Also, `format()` was replaced with f-string formatting to enhance readability.

# Your task
Provide the updated code to incorporate the feedback. Also make sure the original task will be fulfilled. Skip all explanations.

Execution Details

  • Execution reason: Execution after incorporating feedback
  • Final result: Final result: 1
  • Build Time: 0.00s
  • Run Time: 5.10s
  • Execution Time: 5.14s
  • Total Time: 53.16s
  • Files:
    • /display_output/notebook_executed.ipynb
LLM backend
TaskFunctionModel
Generate codeprompt_ollamagemma3:4b
Fix codeprompt_ollamagemma3:4b
Determine dependenciesprompt_ollamagemma3:4b
Generate code feedbackprompt_ollamagemma3:4b
Summarize codeprompt_ollamagemma3:4b
Notebook conversionprompt_ollamagemma3:4b

Execution Output

The number of 'b's in 'blueperry' is: 1
1
import json

def count_b_in_string(s):
    return s.count('b')

input_string = 'blueperry'
b_count = count_b_in_string(input_string)

print(f"The number of 'b's in '{input_string}' is: {b_count}")
print(b_count)
You are an expert in python programming. You have a list of framework constraints which you MUST follow.
Your task is to generate a fully functional code snippet that will be used to fulfill the prompt.
Assume your code will be executed in a Jupyter notebook cell.

# Framework constraints
* You may use the following libraries, but only if necessary: 
* When saving files, use the following folder: "/display_output/". Do not create this folder. It exists already.
* pip install is STRICTLY PROHIBITED. You can only use the libraries mentioned above.
* Statistics: When applying statisticals test, ENSURE that pre-conditions for the tests are checked before the tests are performed.
* Final result output (print or display calls): 
  * The second-last print or display call should be a description of the result (e.g. the measurment and a physical unit if relevant).
  * The last print or display call should be the final result ONLY.
  * If the task is to generate a count, ratio or measurements, print the final result using a separate `print` call. 
  * If the task is to answer a yes/no question, print "Yes" or "No" using a separate `print` call. Do not create any JSON for this.
  * If the task is to generate a plot, display the plot.
  * Also plot intermediate results if possible.
* Final result output (file writing):
  * If the task is to generate a text or a string, write the text or string to "/display_output/final_result.txt".
  * If the task is to generate a table, write the table to "/display_output/final_result.csv".
  * If the final result is a plot, display this plot and afterwards, save it in the folder /display_output as .png and as .svg file and print the filename of the .png in the final output of the program.
  * If the task is to generate a number, list, array or dictionary, write the result to "/display_output/final_result.json".
    In that case, do not add additional data structures. Simply json.dump the result to the file. E.g. if the result is x=2, then just do `json.dump(x, fp)`.
  * If the final result was saved as file, make sure to print the filename in the final output of the program.  
* Keep the code short and concise.



Given some task, code to fulfill the task, and detailed feedback, propose new code that incorporates the feedback.
Make sure to keep the code format.

# Task
                
How many b are in 'blueperry'? The final result is expected to be a number.
                
# Code

```
import json

def count_b_in_string(s):
    """Counts the occurrences of 'b' within a given string.

    Args:
        s (str): The input string.

    Returns:
        int: The number of times 'b' appears in the string.
    """
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

input_string = 'blueperry'
b_count = count_b_in_string(input_string)

print(f"The number of 'b's in '{input_string}' is: {b_count}")
print(b_count)
```

# Feedback

The code is functional and achieves the desired outcome. However, it can be made more concise.

```python
def count_b_in_string(s):
    return s.count('b')

input_string = 'blueperry'
b_count = count_b_in_string(input_string)

print(f"The number of 'b's in '{input_string}' is: {b_count}")
print(b_count)
```

I replaced the loop with the built-in `s.count('b')` method, which directly returns the count of occurrences of 'b' in the string. This simplifies the code and improves readability.

# Your task
Provide the updated code to incorporate the feedback. Also make sure the original task will be fulfilled. Skip all explanations.

Execution Details

  • Execution reason: Execution after incorporating feedback
  • Final result: 1
  • Build Time: 0.00s
  • Run Time: 7.07s
  • Execution Time: 7.11s
  • Total Time: 51.86s
  • Files:
    • /display_output/notebook_executed.ipynb
LLM backend
TaskFunctionModel
Generate codeprompt_ollamagemma3:4b
Fix codeprompt_ollamagemma3:4b
Determine dependenciesprompt_ollamagemma3:4b
Generate code feedbackprompt_ollamagemma3:4b
Summarize codeprompt_ollamagemma3:4b
Notebook conversionprompt_ollamagemma3:4b

Execution Output

1
def count_b_in_string(s):
    """Counts the occurrences of the character 'b' in a string."""
    return sum(1 for char in s if char == 'b')

input_string = "blueperry"
num_b = count_b_in_string(input_string)
print(num_b)
You are an expert in python programming. You have a list of framework constraints which you MUST follow.
Your task is to generate a fully functional code snippet that will be used to fulfill the prompt.
Assume your code will be executed in a Jupyter notebook cell.

# Framework constraints
* You may use the following libraries, but only if necessary: 
* When saving files, use the following folder: "/display_output/". Do not create this folder. It exists already.
* pip install is STRICTLY PROHIBITED. You can only use the libraries mentioned above.
* Statistics: When applying statisticals test, ENSURE that pre-conditions for the tests are checked before the tests are performed.
* Final result output (print or display calls): 
  * The second-last print or display call should be a description of the result (e.g. the measurment and a physical unit if relevant).
  * The last print or display call should be the final result ONLY.
  * If the task is to generate a count, ratio or measurements, print the final result using a separate `print` call. 
  * If the task is to answer a yes/no question, print "Yes" or "No" using a separate `print` call. Do not create any JSON for this.
  * If the task is to generate a plot, display the plot.
  * Also plot intermediate results if possible.
* Final result output (file writing):
  * If the task is to generate a text or a string, write the text or string to "/display_output/final_result.txt".
  * If the task is to generate a table, write the table to "/display_output/final_result.csv".
  * If the final result is a plot, display this plot and afterwards, save it in the folder /display_output as .png and as .svg file and print the filename of the .png in the final output of the program.
  * If the task is to generate a number, list, array or dictionary, write the result to "/display_output/final_result.json".
    In that case, do not add additional data structures. Simply json.dump the result to the file. E.g. if the result is x=2, then just do `json.dump(x, fp)`.
  * If the final result was saved as file, make sure to print the filename in the final output of the program.  
* Keep the code short and concise.



Given some task, code to fulfill the task, and detailed feedback, propose new code that incorporates the feedback.
Make sure to keep the code format.

# Task
                
How many b are in 'blueperry'? The final result is expected to be a number.
                
# Code

```
def count_b_in_string(s):
    """Counts the occurrences of the character 'b' in a string."""
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

input_string = "blueperry"
num_b = count_b_in_string(input_string)
print(num_b)
```

# Feedback

The code is already quite concise and efficient for this task. The logic is clear and easy to understand. However, you can slightly improve readability by using the `s.count()` method which is specifically designed for counting occurrences of a character in a string or the built-in `sum` function with a generator expression.

Here's an alternative implementation:

```python
def count_b_in_string(s):
    """Counts the occurrences of the character 'b' in a string."""
    return sum(1 for char in s if char == 'b')

input_string = "blueperry"
num_b = count_b_in_string(input_string)
print(num_b)
```

This version achieves the same result with less code. It uses a generator expression `(1 for char in s if char == 'b')` which yields 1 for each character that matches 'b', and then `sum()` adds up these 1s to give the total count. It is more compact.


# Your task
Provide the updated code to incorporate the feedback. Also make sure the original task will be fulfilled. Skip all explanations.

Execution Details

  • Execution reason: Execution after incorporating feedback
  • Final result: 1
  • Build Time: 0.00s
  • Run Time: 4.03s
  • Execution Time: 4.06s
  • Total Time: 54.26s
  • Files:
    • /display_output/notebook_executed.ipynb
LLM backend
TaskFunctionModel
Generate codeprompt_ollamagemma3:4b
Fix codeprompt_ollamagemma3:4b
Determine dependenciesprompt_ollamagemma3:4b
Generate code feedbackprompt_ollamagemma3:4b
Summarize codeprompt_ollamagemma3:4b
Notebook conversionprompt_ollamagemma3:4b

Execution Output

1
def count_b_in_string(input_string):
    return input_string.count('b')

string = "blueperry"
num_b = count_b_in_string(string)
print(num_b)
You are an expert in python programming. You have a list of framework constraints which you MUST follow.
Your task is to generate a fully functional code snippet that will be used to fulfill the prompt.
Assume your code will be executed in a Jupyter notebook cell.

# Framework constraints
* You may use the following libraries, but only if necessary: 
* When saving files, use the following folder: "/display_output/". Do not create this folder. It exists already.
* pip install is STRICTLY PROHIBITED. You can only use the libraries mentioned above.
* Statistics: When applying statisticals test, ENSURE that pre-conditions for the tests are checked before the tests are performed.
* Final result output (print or display calls): 
  * The second-last print or display call should be a description of the result (e.g. the measurment and a physical unit if relevant).
  * The last print or display call should be the final result ONLY.
  * If the task is to generate a count, ratio or measurements, print the final result using a separate `print` call. 
  * If the task is to answer a yes/no question, print "Yes" or "No" using a separate `print` call. Do not create any JSON for this.
  * If the task is to generate a plot, display the plot.
  * Also plot intermediate results if possible.
* Final result output (file writing):
  * If the task is to generate a text or a string, write the text or string to "/display_output/final_result.txt".
  * If the task is to generate a table, write the table to "/display_output/final_result.csv".
  * If the final result is a plot, display this plot and afterwards, save it in the folder /display_output as .png and as .svg file and print the filename of the .png in the final output of the program.
  * If the task is to generate a number, list, array or dictionary, write the result to "/display_output/final_result.json".
    In that case, do not add additional data structures. Simply json.dump the result to the file. E.g. if the result is x=2, then just do `json.dump(x, fp)`.
  * If the final result was saved as file, make sure to print the filename in the final output of the program.  
* Keep the code short and concise.



Given some task, code to fulfill the task, and detailed feedback, propose new code that incorporates the feedback.
Make sure to keep the code format.

# Task
                
How many b are in 'blueperry'? The final result is expected to be a number.
                
# Code

```
import json

def count_b_in_string(input_string):
    """Counts the occurrences of the character 'b' in a string."""
    count = 0
    for char in input_string:
        if char == 'b':
            count += 1
    return count

string = "blueperry"
num_b = count_b_in_string(string)
print(num_b)
```

# Feedback

The code is already quite concise and efficient for this task. However, we can simplify it further.

Old code:

```python
import json

def count_b_in_string(input_string):
    """Counts the occurrences of the character 'b' in a string."""
    count = 0
    for char in input_string:
        if char == 'b':
            count += 1
    return count

string = "blueperry"
num_b = count_b_in_string(string)
print(num_b)
```

New code:

```python
def count_b_in_string(input_string):
    return input_string.count('b')

string = "blueperry"
num_b = count_b_in_string(string)
print(num_b)
```

Change: We replaced the loop with the built-in `string.count()` method, which is more efficient and readable for this specific task.  We also removed the docstrings as they are not necessary in this simple code snippet.


# Your task
Provide the updated code to incorporate the feedback. Also make sure the original task will be fulfilled. Skip all explanations.

Execution Details

  • Execution reason: Execution after incorporating feedback
  • Final result: 1
  • Build Time: 0.00s
  • Run Time: 8.68s
  • Execution Time: 8.75s
  • Total Time: 43.08s
  • Files:
    • /display_output/notebook_executed.ipynb
LLM backend
TaskFunctionModel
Generate codeprompt_ollamagemma3:4b
Fix codeprompt_ollamagemma3:4b
Determine dependenciesprompt_ollamagemma3:4b
Generate code feedbackprompt_ollamagemma3:4b
Summarize codeprompt_ollamagemma3:4b
Notebook conversionprompt_ollamagemma3:4b

Execution Output

1
import json

def count_b_in_string(s):
    """Counts the occurrences of character 'b' in a string."""
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

input_string = 'blueperry'
num_b = count_b_in_string(input_string)

print(num_b)
You are an expert in python programming. You have a list of framework constraints which you MUST follow.
Your task is to generate a fully functional code snippet that will be used to fulfill the prompt.
Assume your code will be executed in a Jupyter notebook cell.

# Framework constraints
* You may use the following libraries, but only if necessary: 
* When saving files, use the following folder: "/display_output/". Do not create this folder. It exists already.
* pip install is STRICTLY PROHIBITED. You can only use the libraries mentioned above.
* Statistics: When applying statisticals test, ENSURE that pre-conditions for the tests are checked before the tests are performed.
* Final result output (print or display calls): 
  * The second-last print or display call should be a description of the result (e.g. the measurment and a physical unit if relevant).
  * The last print or display call should be the final result ONLY.
  * If the task is to generate a count, ratio or measurements, print the final result using a separate `print` call. 
  * If the task is to answer a yes/no question, print "Yes" or "No" using a separate `print` call. Do not create any JSON for this.
  * If the task is to generate a plot, display the plot.
  * Also plot intermediate results if possible.
* Final result output (file writing):
  * If the task is to generate a text or a string, write the text or string to "/display_output/final_result.txt".
  * If the task is to generate a table, write the table to "/display_output/final_result.csv".
  * If the final result is a plot, display this plot and afterwards, save it in the folder /display_output as .png and as .svg file and print the filename of the .png in the final output of the program.
  * If the task is to generate a number, list, array or dictionary, write the result to "/display_output/final_result.json".
    In that case, do not add additional data structures. Simply json.dump the result to the file. E.g. if the result is x=2, then just do `json.dump(x, fp)`.
  * If the final result was saved as file, make sure to print the filename in the final output of the program.  
* Keep the code short and concise.


How many b are in 'blueperry'? The final result is expected to be a number.

Execution Details

  • Execution reason: Initial code generation and execution
  • Final result: 1
  • Build Time: 0.51s
  • Run Time: 7.45s
  • Execution Time: 8.01s
  • Total Time: 42.47s
  • Files:
    • /display_output/notebook_executed.ipynb
  • Feedback:
    The code is already quite concise and effective for this task. However, we can slightly improve readability by directly returning the count without assigning it to a variable first.

```python
import json

def count_b_in_string(s):
    """Counts the occurrences of character 'b' in a string."""
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

input_string = 'blueperry'
num_b = count_b_in_string(input_string)

print(num_b)
```

Overall the code looks good.
LLM backend
TaskFunctionModel
Generate codeprompt_ollamagemma3:4b
Fix codeprompt_ollamagemma3:4b
Determine dependenciesprompt_ollamagemma3:4b
Generate code feedbackprompt_ollamagemma3:4b
Summarize codeprompt_ollamagemma3:4b
Notebook conversionprompt_ollamagemma3:4b

We can programmatically accesss the result values of these executions.

[r.final_result for r in results]

['Final result: 1', 1, 1, 1, 1]

Further analysis of this list could be for example counting the number of cases where a dominant result was produced. To simplify this, the results list has a short cut:

results.dominant_final_result, type(results.dominant_final_result)

(1, int)

You can furthermore access the entire execution details of one execution where the dominant result was produced like this:

results.dominant_result

Execution Output

The number of 'b's in 'blueperry' is: 1
1
import json

def count_b_in_string(s):
    return s.count('b')

input_string = 'blueperry'
b_count = count_b_in_string(input_string)

print(f"The number of 'b's in '{input_string}' is: {b_count}")
print(b_count)
You are an expert in python programming. You have a list of framework constraints which you MUST follow.
Your task is to generate a fully functional code snippet that will be used to fulfill the prompt.
Assume your code will be executed in a Jupyter notebook cell.

# Framework constraints
* You may use the following libraries, but only if necessary: 
* When saving files, use the following folder: "/display_output/". Do not create this folder. It exists already.
* pip install is STRICTLY PROHIBITED. You can only use the libraries mentioned above.
* Statistics: When applying statisticals test, ENSURE that pre-conditions for the tests are checked before the tests are performed.
* Final result output (print or display calls): 
  * The second-last print or display call should be a description of the result (e.g. the measurment and a physical unit if relevant).
  * The last print or display call should be the final result ONLY.
  * If the task is to generate a count, ratio or measurements, print the final result using a separate `print` call. 
  * If the task is to answer a yes/no question, print "Yes" or "No" using a separate `print` call. Do not create any JSON for this.
  * If the task is to generate a plot, display the plot.
  * Also plot intermediate results if possible.
* Final result output (file writing):
  * If the task is to generate a text or a string, write the text or string to "/display_output/final_result.txt".
  * If the task is to generate a table, write the table to "/display_output/final_result.csv".
  * If the final result is a plot, display this plot and afterwards, save it in the folder /display_output as .png and as .svg file and print the filename of the .png in the final output of the program.
  * If the task is to generate a number, list, array or dictionary, write the result to "/display_output/final_result.json".
    In that case, do not add additional data structures. Simply json.dump the result to the file. E.g. if the result is x=2, then just do `json.dump(x, fp)`.
  * If the final result was saved as file, make sure to print the filename in the final output of the program.  
* Keep the code short and concise.



Given some task, code to fulfill the task, and detailed feedback, propose new code that incorporates the feedback.
Make sure to keep the code format.

# Task
                
How many b are in 'blueperry'? The final result is expected to be a number.
                
# Code

```
import json

def count_b_in_string(s):
    """Counts the occurrences of 'b' within a given string.

    Args:
        s (str): The input string.

    Returns:
        int: The number of times 'b' appears in the string.
    """
    count = 0
    for char in s:
        if char == 'b':
            count += 1
    return count

input_string = 'blueperry'
b_count = count_b_in_string(input_string)

print(f"The number of 'b's in '{input_string}' is: {b_count}")
print(b_count)
```

# Feedback

The code is functional and achieves the desired outcome. However, it can be made more concise.

```python
def count_b_in_string(s):
    return s.count('b')

input_string = 'blueperry'
b_count = count_b_in_string(input_string)

print(f"The number of 'b's in '{input_string}' is: {b_count}")
print(b_count)
```

I replaced the loop with the built-in `s.count('b')` method, which directly returns the count of occurrences of 'b' in the string. This simplifies the code and improves readability.

# Your task
Provide the updated code to incorporate the feedback. Also make sure the original task will be fulfilled. Skip all explanations.

Execution Details

  • Execution reason: Execution after incorporating feedback
  • Final result: 1
  • Build Time: 0.00s
  • Run Time: 7.07s
  • Execution Time: 7.11s
  • Total Time: 51.86s
  • Files:
    • /display_output/notebook_executed.ipynb
LLM backend
TaskFunctionModel
Generate codeprompt_ollamagemma3:4b
Fix codeprompt_ollamagemma3:4b
Determine dependenciesprompt_ollamagemma3:4b
Generate code feedbackprompt_ollamagemma3:4b
Summarize codeprompt_ollamagemma3:4b
Notebook conversionprompt_ollamagemma3:4b