Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

LLM Generation

Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

Output

Here's a Python script that defines a `resize_image` function to resize all image files in a specified folder to 32x32 pixels using the Pillow library. The script can be run from the command line, and it uses `/tmp` as the default folder if no path is provided: 

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import os
from PIL import Image
import sys

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if the file is an image
        if os.path.isfile(file_path) and os.path.splitext(filename)[1].lower() in image_extensions:
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    # Use command-line argument for folder path if provided, otherwise use default
    folder_path = sys.argv[1] if len(sys.argv) > 1 else '/tmp'
    resize_image(folder_path)
To use this script: 1. Save the code in a file named `resize_images.py`. 2. Make sure you have the Pillow library installed. If not, install it using: 
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   pip install Pillow
3. Run the script from the command line: - To use the default `/tmp` folder: 
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     python resize_images.py
- To specify a different folder: 
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     python resize_images.py /path/to/your/folder
This script will: - Look for image files (with extensions .jpg, .jpeg, .png, .bmp, .gif) in the specified folder. - Resize each image to 32x32 pixels using the LANCZOS resampling filter for better quality. - Overwrite the original image with the resized version. - Print the name of each successfully resized image or any errors encountered. Remember that this script will permanently modify the original images, so make sure you have backups if needed.

Extract Code

I extracted the following code from that output: 

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import os
from PIL import Image
import sys

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if the file is an image
        if os.path.isfile(file_path) and os.path.splitext(filename)[1].lower() in image_extensions:
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    # Use command-line argument for folder path if provided, otherwise use default
    folder_path = sys.argv[1] if len(sys.argv) > 1 else '/tmp'
    resize_image(folder_path)

Run Code Interpreter

Running the following program: 

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import os
from PIL import Image
import sys

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if the file is an image
        if os.path.isfile(file_path) and os.path.splitext(filename)[1].lower() in image_extensions:
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    # Use command-line argument for folder path if provided, otherwise use default
    folder_path = sys.argv[1] if len(sys.argv) > 1 else '/tmp'
    resize_image(folder_path)
And got the output: Resized: random_image_1.jpeg Resized: random_image_7.jpeg Resized: random_image_9.jpg Resized: random_image_8.jpg Resized: random_image_5.jpeg Resized: random_image_10.jpg Resized: random_image_4.jpg Resized: random_image_2.jpeg Resized: random_image_3.jpeg Resized: random_image_6.jpeg

PyFunc

final: True Resulting in output: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

LLM Generation

Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

Output

Here's a Python script that defines a `resize_image` function to resize all image files in a specified folder to 32x32 pixels using Pillow (PIL) and overwrites the original files. The default folder is set to `/tmp`: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif')

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(image_extensions):
            file_path = os.path.join(folder_path, filename)
            
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    resize_image()
    print("Image resizing complete.")
To use this script: 1. Save it as `resize_images.py` (or any name you prefer). 2. Make sure you have Pillow installed. If not, install it using `pip install Pillow`. 3. Run the script using `python resize_images.py`. By default, this script will process all image files in the `/tmp` folder. If you want to specify a different folder, you can modify the `folder_path` argument in the `resize_image()` function call inside the `if __name__ == "__main__":` block. For example, to use a different folder: 
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if __name__ == "__main__":
    resize_image("/path/to/your/folder")
    print("Image resizing complete.")
This script will resize all supported image files (JPEG, PNG, BMP, and GIF) in the specified folder to 32x32 pixels and overwrite the original files. It uses the LANCZOS resampling filter for better quality results when downsizing images.

Extract Code

I extracted the following code from that output: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif')

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(image_extensions):
            file_path = os.path.join(folder_path, filename)
            
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    resize_image()
    print("Image resizing complete.")

Run Code Interpreter

Running the following program: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif')

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(image_extensions):
            file_path = os.path.join(folder_path, filename)
            
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    resize_image()
    print("Image resizing complete.")
And got the output: Resized: random_image_7.jpeg Resized: random_image_8.jpg Resized: random_image_6.jpg Resized: random_image_1.jpg Resized: random_image_2.jpg Resized: random_image_5.jpeg Resized: random_image_9.jpeg Resized: random_image_10.jpg Resized: random_image_4.jpg Resized: random_image_3.jpeg Image resizing complete.

PyFunc

final: True Resulting in output: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

LLM Generation

Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

Output

Here's a Python script that defines a `resize_image` function to resize all images in a specified folder to 32x32 pixels using the Pillow library. The script can be run from the command line, and it uses `/tmp` as the default folder if no path is provided: 

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import os
from PIL import Image
import sys

def resize_image(folder_path='/tmp'):
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            file_path = os.path.join(folder_path, filename)
            try:
                with Image.open(file_path) as img:
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    resized_img.save(file_path)
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    if len(sys.argv) > 1:
        folder_path = sys.argv[1]
    else:
        folder_path = '/tmp'

    resize_image(folder_path)
    print("Image resizing complete.")
To use this script: 1. Save it as `resize_images.py`. 2. Make sure you have Pillow installed. If not, install it using: 
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   pip install Pillow
3. Run the script from the command line: - To use the default `/tmp` folder: 
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     python resize_images.py
- To specify a different folder: 
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     python resize_images.py /path/to/your/folder
This script will: - Look for image files (PNG, JPG, JPEG, GIF, BMP) in the specified folder. - Resize each image to 32x32 pixels using the LANCZOS resampling filter. - Overwrite the original image with the resized version. - Print the name of each successfully resized image. - Print an error message if there's an issue processing any image. Note: Be cautious when using this script, as it overwrites the original images. Make sure you have backups of your images before running this script.

Extract Code

I extracted the following code from that output: 

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import os
from PIL import Image
import sys

def resize_image(folder_path='/tmp'):
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            file_path = os.path.join(folder_path, filename)
            try:
                with Image.open(file_path) as img:
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    resized_img.save(file_path)
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    if len(sys.argv) > 1:
        folder_path = sys.argv[1]
    else:
        folder_path = '/tmp'

    resize_image(folder_path)
    print("Image resizing complete.")

Run Code Interpreter

Running the following program: 

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import os
from PIL import Image
import sys

def resize_image(folder_path='/tmp'):
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            file_path = os.path.join(folder_path, filename)
            try:
                with Image.open(file_path) as img:
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    resized_img.save(file_path)
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    if len(sys.argv) > 1:
        folder_path = sys.argv[1]
    else:
        folder_path = '/tmp'

    resize_image(folder_path)
    print("Image resizing complete.")
And got the output: Resized: random_image_7.jpeg Resized: random_image_9.jpg Resized: random_image_1.jpg Resized: random_image_2.jpg Resized: random_image_5.jpeg Resized: random_image_4.jpg Resized: random_image_3.jpg Resized: random_image_8.jpeg Resized: random_image_10.jpeg Resized: random_image_6.jpeg Image resizing complete.

PyFunc

final: True Resulting in output: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

LLM Generation

Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

Output

Here's a Python script that defines a `resize_image` function to resize all images in a specified folder to 32x32 pixels using the Pillow library. The script can be run from the command line, and it uses `/tmp` as the default folder if no argument is provided: 

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import os
import sys
from PIL import Image

def resize_image(folder_path):
    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if the file is an image
        if os.path.isfile(file_path) and filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    # Use command-line argument if provided, otherwise use default folder
    folder_path = sys.argv[1] if len(sys.argv) > 1 else "/tmp"
    
    print(f"Resizing images in folder: {folder_path}")
    resize_image(folder_path)
    print("Resizing complete.")
To use this script: 1. Save it as `resize_images.py`. 2. Make sure you have the Pillow library installed. If not, install it using `pip install Pillow`. 3. Run the script from the command line: - To use the default `/tmp` folder: `python resize_images.py` - To specify a different folder: `python resize_images.py /path/to/your/folder` The script will: - Look for image files (with extensions .png, .jpg, .jpeg, .gif, .bmp) in the specified folder. - Resize each image to 32x32 pixels. - Overwrite the original image with the resized version. - Print the names of successfully resized images and any errors encountered. Note: This script will permanently modify the original images. Make sure to backup your images before running this script if you want to keep the original versions.

Extract Code

I extracted the following code from that output: 

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import os
import sys
from PIL import Image

def resize_image(folder_path):
    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if the file is an image
        if os.path.isfile(file_path) and filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    # Use command-line argument if provided, otherwise use default folder
    folder_path = sys.argv[1] if len(sys.argv) > 1 else "/tmp"
    
    print(f"Resizing images in folder: {folder_path}")
    resize_image(folder_path)
    print("Resizing complete.")

Run Code Interpreter

Running the following program: 

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import os
import sys
from PIL import Image

def resize_image(folder_path):
    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if the file is an image
        if os.path.isfile(file_path) and filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized: {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    # Use command-line argument if provided, otherwise use default folder
    folder_path = sys.argv[1] if len(sys.argv) > 1 else "/tmp"
    
    print(f"Resizing images in folder: {folder_path}")
    resize_image(folder_path)
    print("Resizing complete.")
And got the output: Resizing images in folder: /tmp Resized: random_image_9.jpg Resized: random_image_6.jpg Resized: random_image_1.jpg Resized: random_image_5.jpeg Resized: random_image_7.jpg Resized: random_image_4.jpg Resized: random_image_2.jpeg Resized: random_image_3.jpg Resized: random_image_8.jpeg Resized: random_image_10.jpeg Resizing complete.

PyFunc

final: True Resulting in output: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

LLM Generation

Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

Output

Here's a Python script that does what you've described. Save this as `resize_images.py` and run it with `python resize_images.py`: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    valid_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if it's a file and has a valid image extension
        if os.path.isfile(file_path) and any(filename.lower().endswith(ext) for ext in valid_extensions):
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    resize_image()
This script does the following: 1. It defines a function `resize_image` that takes an optional `folder_path` parameter, which defaults to '/tmp'. 2. It sets up a list of valid image file extensions. 3. It iterates through all files in the specified folder. 4. For each file, it checks if it's a file (not a directory) and if it has a valid image extension. 5. If it's a valid image file, it opens the image using Pillow (PIL), resizes it to 32x32 using the LANCZOS resampling filter (which generally provides good quality), and then saves it back to the same file, overwriting the original. 6. It prints a message for each successfully resized image or an error message if there's a problem processing an image. 7. The `if __name__ == "__main__":` block ensures that the `resize_image` function is called when the script is run directly. To use this script: 1. Save it as `resize_images.py`. 2. Open a terminal or command prompt. 3. Navigate to the directory containing the script. 4. Run the script with `python resize_images.py`. By default, it will process images in the '/tmp' folder. If you want to specify a different folder, you can modify the script to accept command-line arguments, or you can change the default value in the function definition.

Extract Code

I extracted the following code from that output: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    valid_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if it's a file and has a valid image extension
        if os.path.isfile(file_path) and any(filename.lower().endswith(ext) for ext in valid_extensions):
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    resize_image()

Run Code Interpreter

Running the following program: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    valid_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']

    # Iterate through all files in the folder
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        
        # Check if it's a file and has a valid image extension
        if os.path.isfile(file_path) and any(filename.lower().endswith(ext) for ext in valid_extensions):
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32), Image.LANCZOS)
                    
                    # Save the resized image, overwriting the original
                    resized_img.save(file_path)
                
                print(f"Resized {filename}")
            except Exception as e:
                print(f"Error processing {filename}: {str(e)}")

if __name__ == "__main__":
    resize_image()
And got the output: Resized random_image_5.jpg Resized random_image_9.jpg Resized random_image_8.jpg Resized random_image_6.jpg Resized random_image_1.jpg Resized random_image_7.jpg Resized random_image_4.jpeg Resized random_image_10.jpg Resized random_image_2.jpeg Resized random_image_3.jpeg

PyFunc

final: True Resulting in output: True