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

You can use the following Python code to resize all image files in a specified folder to 32x32 pixels using the Pillow library. This code will overwrite the original images. Make sure you have Pillow installed in your Python environment. You can install it via pip if you haven't done so yet: 

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pip install Pillow
Here's the code: 
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import os
from PIL import Image

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

    # Iterate through all files in the specified folder
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(supported_extensions):
            # Construct full file path
            file_path = os.path.join(folder_path, filename)
            try:
                # Open an image file
                with Image.open(file_path) as img:
                    # Resize image
                    img = img.resize((32, 32))
                    # Save back to the same file
                    img.save(file_path)
                    print(f'Resized: {file_path}')
            except Exception as e:
                print(f'Could not process {file_path}: {e}')

if __name__ == '__main__':
    resize_image()
### How to Run the Code 1. Save the code in a file named `code.py`. 2. Open your terminal or command prompt. 3. Navigate to the directory where `code.py` is saved. 4. Run the script using the command: 
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python code.py
This will process all image files in the `/tmp` folder and resize them to 32x32 pixels, overwriting the original files. If you want to process a different folder, you can modify the `folder_path` argument in the `resize_image` function call.

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 extensions
    supported_extensions = ('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')

    # Iterate through all files in the specified folder
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(supported_extensions):
            # Construct full file path
            file_path = os.path.join(folder_path, filename)
            try:
                # Open an image file
                with Image.open(file_path) as img:
                    # Resize image
                    img = img.resize((32, 32))
                    # Save back to the same file
                    img.save(file_path)
                    print(f'Resized: {file_path}')
            except Exception as e:
                print(f'Could not process {file_path}: {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 extensions
    supported_extensions = ('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')

    # Iterate through all files in the specified folder
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(supported_extensions):
            # Construct full file path
            file_path = os.path.join(folder_path, filename)
            try:
                # Open an image file
                with Image.open(file_path) as img:
                    # Resize image
                    img = img.resize((32, 32))
                    # Save back to the same file
                    img.save(file_path)
                    print(f'Resized: {file_path}')
            except Exception as e:
                print(f'Could not process {file_path}: {e}')

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

Certainly! Below is a Python code that defines a function `resize_image` which will look for all image files in a specified folder (defaulting to `/tmp`), resize them to 32x32 pixels using the Pillow library, and overwrite the original images. Make sure you have Pillow installed before running the script. You can install it via pip if you haven't done so yet: 

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pip install Pillow
Here's the Python code: 
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import os
from PIL import Image

def resize_image(folder_path="/tmp"):
    # Supported image formats
    supported_formats = ('.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff')

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

if __name__ == "__main__":
    resize_image()
### Instructions to Run the Code: 1. Save the code above in a file called `code.py`. 2. Open a terminal. 3. Run the script using the command: 
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python code.py
This will resize all images in the `/tmp` directory (or any specified directory if you modify the `folder_path` argument) to 32x32 pixels and overwrite the original 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 formats
    supported_formats = ('.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff')

    # Iterate through all files in the directory
    for filename in os.listdir(folder_path):
        if filename.lower().endswith(supported_formats):
            file_path = os.path.join(folder_path, filename)
            try:
                with Image.open(file_path) as img:
                    # Resize image to 32x32
                    img = img.resize((32, 32))
                    # Save the resized image, overwriting the original
                    img.save(file_path)
                    print(f'Resized and overwritten: {file_path}')
            except Exception as e:
                print(f'Error processing {file_path}: {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 formats
    supported_formats = ('.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff')

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

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

Certainly! Below is a Python code that defines a function `resize_image` which takes a folder path as input, searches for all image files in that folder, and resizes them to 32x32 pixels using the Pillow library. It overwrites the original images with the resized versions. The default folder is set to `/tmp`. Make sure you have the Pillow library installed in your environment. You can install it using pip if you haven't done so: 

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pip install Pillow
Here's the code: 
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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Get all files in the specified folder
    for filename in os.listdir(folder_path):
        # Construct full file path
        file_path = os.path.join(folder_path, filename)
        
        # Check if it's a file and if it has an image extension
        if os.path.isfile(file_path) and filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            try:
                # Open an image file
                with Image.open(file_path) as img:
                    # Resize image to 32x32
                    img = img.resize((32, 32), Image.ANTIALIAS)
                    # Save it back to the same path (overwrite)
                    img.save(file_path)
                    print(f'Resized and saved: {filename}')
            except Exception as e:
                print(f'Error processing {filename}: {e}')

if __name__ == "__main__":
    resize_image()
### How to run the code: 1. Save the code to a file named `code.py`. 2. Open a terminal and navigate to the directory where `code.py` is located. 3. Run the script using the command: 
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python code.py
This will resize all image files in the `/tmp` directory to 32x32 pixels and overwrite the original images. Adjust the `folder_path` argument in the `resize_image` function call if you want to specify a different directory.

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'):
    # Get all files in the specified folder
    for filename in os.listdir(folder_path):
        # Construct full file path
        file_path = os.path.join(folder_path, filename)
        
        # Check if it's a file and if it has an image extension
        if os.path.isfile(file_path) and filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            try:
                # Open an image file
                with Image.open(file_path) as img:
                    # Resize image to 32x32
                    img = img.resize((32, 32), Image.ANTIALIAS)
                    # Save it back to the same path (overwrite)
                    img.save(file_path)
                    print(f'Resized and saved: {filename}')
            except Exception as e:
                print(f'Error processing {filename}: {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'):
    # Get all files in the specified folder
    for filename in os.listdir(folder_path):
        # Construct full file path
        file_path = os.path.join(folder_path, filename)
        
        # Check if it's a file and if it has an image extension
        if os.path.isfile(file_path) and filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            try:
                # Open an image file
                with Image.open(file_path) as img:
                    # Resize image to 32x32
                    img = img.resize((32, 32), Image.ANTIALIAS)
                    # Save it back to the same path (overwrite)
                    img.save(file_path)
                    print(f'Resized and saved: {filename}')
            except Exception as e:
                print(f'Error processing {filename}: {e}')

if __name__ == "__main__":
    resize_image()
And got the output: Error processing random_image_1.jpeg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_9.jpg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_6.jpg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_5.jpeg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_7.jpg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_10.jpg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_4.jpg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_2.jpeg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_3.jpg: module 'PIL.Image' has no attribute 'ANTIALIAS' Error processing random_image_8.jpeg: module 'PIL.Image' has no attribute 'ANTIALIAS'

PyFunc

size is (128, 783) final: False Resulting in output: False

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

Certainly! Below is 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 default folder is set to `/tmp`. You can run this code in a file named `code.py`. 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # Loop through all files in the specified folder
    for filename in os.listdir(folder_path):
        # Create the full path to the file
        file_path = os.path.join(folder_path, filename)

        # Check if the file is an image
        try:
            with Image.open(file_path) as img:
                # Resize the image to 32x32 pixels
                img = img.resize((32, 32))
                # Save the image, overwriting the original file
                img.save(file_path)
                print(f'Resized and saved: {file_path}')
        except (IOError, OSError):
            # If the file is not an image, skip it
            continue

if __name__ == "__main__":
    resize_image()
### Instructions to run the script: 1. Make sure you have the Pillow library installed. You can install it using pip: 
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   pip install pillow
2. Save the code above in a file named `code.py`. 3. Run the script using Python: 
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   python code.py
This script will process all image files in the `/tmp` directory and resize them to 32x32 pixels, overwriting the original files. Adjust the `folder_path` parameter if you wish to process a different directory.

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'):
    # Loop through all files in the specified folder
    for filename in os.listdir(folder_path):
        # Create the full path to the file
        file_path = os.path.join(folder_path, filename)

        # Check if the file is an image
        try:
            with Image.open(file_path) as img:
                # Resize the image to 32x32 pixels
                img = img.resize((32, 32))
                # Save the image, overwriting the original file
                img.save(file_path)
                print(f'Resized and saved: {file_path}')
        except (IOError, OSError):
            # If the file is not an image, skip it
            continue

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'):
    # Loop through all files in the specified folder
    for filename in os.listdir(folder_path):
        # Create the full path to the file
        file_path = os.path.join(folder_path, filename)

        # Check if the file is an image
        try:
            with Image.open(file_path) as img:
                # Resize the image to 32x32 pixels
                img = img.resize((32, 32))
                # Save the image, overwriting the original file
                img.save(file_path)
                print(f'Resized and saved: {file_path}')
        except (IOError, OSError):
            # If the file is not an image, skip it
            continue

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

Certainly! Below is a Python script that defines a `resize_image` function. This function takes a folder path as input, searches for all image files in that folder, resizes them to 32x32 pixels, and overwrites the original images. The script uses the Pillow library for image processing. To run this script, make sure you have Pillow installed. You can install it using pip if you haven't done so already: 

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pip install Pillow
Here's the code for `code.py`: 
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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    # List of image file extensions to look for
    image_extensions = ('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')
    
    # Iterate through all files in the specified folder
    for filename in os.listdir(folder_path):
        # Check if the file has an image extension
        if filename.lower().endswith(image_extensions):
            file_path = os.path.join(folder_path, filename)
            try:
                # Open the image file
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    img = img.resize((32, 32))
                    # Overwrite the original image
                    img.save(file_path)
                    print(f'Resized and saved {filename}')
            except Exception as e:
                print(f'Could not process {filename}: {e}')

if __name__ == '__main__':
    resize_image()
### How to Run 1. Save the code above in a file named `code.py`. 2. Open a terminal and navigate to the directory where `code.py` is located. 3. Run the script using Python: 
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python code.py
By default, it will look for images in the `/tmp` folder. You can change the folder path in the function call if needed.

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'):
    # List of image file extensions to look for
    image_extensions = ('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')
    
    # Iterate through all files in the specified folder
    for filename in os.listdir(folder_path):
        # Check if the file has an image extension
        if filename.lower().endswith(image_extensions):
            file_path = os.path.join(folder_path, filename)
            try:
                # Open the image file
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    img = img.resize((32, 32))
                    # Overwrite the original image
                    img.save(file_path)
                    print(f'Resized and saved {filename}')
            except Exception as e:
                print(f'Could not process {filename}: {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'):
    # List of image file extensions to look for
    image_extensions = ('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')
    
    # Iterate through all files in the specified folder
    for filename in os.listdir(folder_path):
        # Check if the file has an image extension
        if filename.lower().endswith(image_extensions):
            file_path = os.path.join(folder_path, filename)
            try:
                # Open the image file
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    img = img.resize((32, 32))
                    # Overwrite the original image
                    img.save(file_path)
                    print(f'Resized and saved {filename}')
            except Exception as e:
                print(f'Could not process {filename}: {e}')

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

PyFunc

final: True Resulting in output: True