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 the Python code that resizes all image files in the `/tmp` folder to 32x32 pixels and overwrites the original files: 

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from pathlib import Path
from PIL import Image

def resize_image(folder_path):
    folder_path = Path(folder_path)
    for image_path in folder_path.glob("*.*"):
        try:
            image = Image.open(image_path)
            image = image.resize((32, 32))
            image.save(image_path)
            print(f"Resized {image_path}")
        except Exception as e:
            print(f"Error resizing {image_path}: {e}")

if __name__ == "__main__":
    resize_image("/tmp")
To run this code, save it to a file (e.g., `code.py`) and run the following command in your terminal: 
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python code.py
Here's how the `resize_image` function works: 1. The function takes a `folder_path` parameter, which is the path to the folder containing the images you want to resize. 2. The `Path` class from the `pathlib` module is used to create a `Path` object from the `folder_path` string. 3. The `glob` method is used to create a generator that yields all file paths in the given folder that match the specified pattern (`*.*` matches all files with extensions). 4. For each file path in the generator, the code tries to open the image using `Image.open(image_path)` from the Pillow library. 5. If the image is opened successfully, it is resized to 32x32 pixels using the `resize` method of the `Image` object. 6. The resized image is then saved to the same file path, overwriting the original image file. 7. If there's an error opening or resizing the image, an error message is printed to the console. Note that this code assumes you have the Pillow library installed. If you don't have it installed, you can install it using pip: 
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pip install pillow
Also, make sure you have write permissions to the `/tmp` folder or change the folder path to a location where you have write access.

Extract Code

I extracted the following code from that output: 

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from pathlib import Path
from PIL import Image

def resize_image(folder_path):
    folder_path = Path(folder_path)
    for image_path in folder_path.glob("*.*"):
        try:
            image = Image.open(image_path)
            image = image.resize((32, 32))
            image.save(image_path)
            print(f"Resized {image_path}")
        except Exception as e:
            print(f"Error resizing {image_path}: {e}")

if __name__ == "__main__":
    resize_image("/tmp")

Run Code Interpreter

Running the following program: 

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from pathlib import Path
from PIL import Image

def resize_image(folder_path):
    folder_path = Path(folder_path)
    for image_path in folder_path.glob("*.*"):
        try:
            image = Image.open(image_path)
            image = image.resize((32, 32))
            image.save(image_path)
            print(f"Resized {image_path}")
        except Exception as e:
            print(f"Error resizing {image_path}: {e}")

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

Here's the Python code that takes a folder path as input, looks for all image files in that folder, resizes them to 32x32 pixels using the Pillow library, and overwrites the original files. If no folder path is provided, it defaults to `/tmp`. 

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from pathlib import Path
import sys
from PIL import Image

def resize_image(folder_path='/tmp'):
    folder_path = Path(folder_path)

    for image_file in folder_path.glob('*.*'):
        if image_file.suffix.lower() in ['.jpg', '.jpeg', '.png', '.bmp']:
            try:
                image = Image.open(image_file)
                resized_image = image.resize((32, 32))
                resized_image.save(image_file)
                print(f"Resized {image_file}")
            except Exception as e:
                print(f"Error resizing {image_file}: {e}")

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

    resize_image(folder_path)
To run this code, save it as `code.py` and execute it with Python: 
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python code.py
This will resize all image files (with extensions `.jpg`, `.jpeg`, `.png`, and `.bmp`) in the `/tmp` folder to 32x32 pixels and overwrite the original files. If you want to specify a different folder path, you can pass it as a command-line argument: 
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python code.py /path/to/your/folder
This will resize all image files in the specified folder. Note that this code will overwrite the original image files, so make sure to back up your files before running it if needed.

Extract Code

I extracted the following code from that output: 

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from pathlib import Path
import sys
from PIL import Image

def resize_image(folder_path='/tmp'):
    folder_path = Path(folder_path)

    for image_file in folder_path.glob('*.*'):
        if image_file.suffix.lower() in ['.jpg', '.jpeg', '.png', '.bmp']:
            try:
                image = Image.open(image_file)
                resized_image = image.resize((32, 32))
                resized_image.save(image_file)
                print(f"Resized {image_file}")
            except Exception as e:
                print(f"Error resizing {image_file}: {e}")

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

    resize_image(folder_path)

Run Code Interpreter

Running the following program: 

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from pathlib import Path
import sys
from PIL import Image

def resize_image(folder_path='/tmp'):
    folder_path = Path(folder_path)

    for image_file in folder_path.glob('*.*'):
        if image_file.suffix.lower() in ['.jpg', '.jpeg', '.png', '.bmp']:
            try:
                image = Image.open(image_file)
                resized_image = image.resize((32, 32))
                resized_image.save(image_file)
                print(f"Resized {image_file}")
            except Exception as e:
                print(f"Error resizing {image_file}: {e}")

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

    resize_image(folder_path)
And got the output: Resized /tmp/random_image_7.jpeg Resized /tmp/random_image_9.jpg Resized /tmp/random_image_1.jpg Resized /tmp/random_image_2.jpg Resized /tmp/random_image_5.jpeg Resized /tmp/random_image_10.jpg Resized /tmp/random_image_4.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

Here's the Python code that you can run with `python code.py` to resize all image files in the `/tmp` folder to 32x32 using the Pillow library: 

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import os
from PIL import Image

def resize_image(folder_path='/tmp'):
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        if os.path.isfile(file_path):
            try:
                img = Image.open(file_path)
                img = img.resize((32, 32))
                img.save(file_path)
                print(f"Resized {filename} to 32x32")
            except Exception as e:
                print(f"Error resizing {filename}: {e}")

if __name__ == "__main__":
    resize_image()
Here's how the `resize_image` function works: 1. The function takes an optional `folder_path` parameter that defaults to `/tmp`. 2. It uses `os.listdir(folder_path)` to get a list of all files and directories in the specified folder. 3. For each file in the folder: - It constructs the full file path by joining the folder path and the filename. - If the path corresponds to a file (checked using `os.path.isfile`), it tries to open the file using `Image.open(file_path)`. - If the file is an image supported by Pillow, it resizes the image to 32x32 pixels using `img.resize((32, 32))`. - It then saves the resized image, overwriting the original file using `img.save(file_path)`. - If the resizing is successful, it prints a message indicating that the file was resized. - If there's an exception (e.g., the file is not an image or there's an error during resizing), it prints an error message. 4. The `if __name__ == "__main__":` block ensures that the `resize_image` function is called only when the script is run directly (not when it's imported as a module). Note: This code assumes that you have the Pillow library installed. If you don't have it installed, you can install it using `pip install pillow`.

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'):
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        if os.path.isfile(file_path):
            try:
                img = Image.open(file_path)
                img = img.resize((32, 32))
                img.save(file_path)
                print(f"Resized {filename} to 32x32")
            except Exception as e:
                print(f"Error resizing {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'):
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
        if os.path.isfile(file_path):
            try:
                img = Image.open(file_path)
                img = img.resize((32, 32))
                img.save(file_path)
                print(f"Resized {filename} to 32x32")
            except Exception as e:
                print(f"Error resizing {filename}: {e}")

if __name__ == "__main__":
    resize_image()
And got the output: Resized random_image_5.jpg to 32x32 Resized random_image_7.jpeg to 32x32 Resized random_image_9.jpg to 32x32 Resized random_image_8.jpg to 32x32 Resized random_image_1.jpg to 32x32 Resized random_image_4.jpeg to 32x32 Resized random_image_10.jpg to 32x32 Resized random_image_2.jpeg to 32x32 Resized random_image_3.jpeg to 32x32 Resized random_image_6.jpeg to 32x32

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

Sure, here's the Python code that will resize all images in the `/tmp` folder to 32x32 using the Pillow library: 

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import os
from PIL import Image

def resize_image(folder_path="/tmp"):
    """
    Resize all images in the specified folder to 32x32.
    """
    for filename in os.listdir(folder_path):
        # Check if the file is an image
        if any(filename.endswith(ext) for ext in ['.jpg', '.png', '.gif', '.bmp']):
            # Open the image
            image_path = os.path.join(folder_path, filename)
            with Image.open(image_path) as image:
                # Resize the image
                resized_image = image.resize((32, 32))
                # Save the resized image, overwriting the original file
                resized_image.save(image_path)
                print(f"Resized {filename}")

if __name__ == "__main__":
    resize_image()
To run this code, save it in a file named `code.py` and execute it using the following command: 
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python code.py
This will resize all images (with extensions `.jpg`, `.png`, `.gif`, and `.bmp`) in the `/tmp` folder to 32x32 and overwrite the original files. Here's how the `resize_image` function works: 1. The function takes an optional `folder_path` parameter, which defaults to `/tmp`. 2. It iterates over all files in the specified folder using `os.listdir(folder_path)`. 3. For each file, it checks if the file extension is one of the common image extensions (`.jpg`, `.png`, `.gif`, `.bmp`). 4. If the file is an image, it opens the image using `Image.open(image_path)`. 5. The `resize` method is called on the open image object with the desired size (32, 32) to create a new resized image. 6. The resized image is saved to the same file path, overwriting the original file using `resized_image.save(image_path)`. 7. A message is printed to indicate that the file has been resized. Note that this code assumes that the Pillow library is installed. You can install it using pip: 
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pip install pillow

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"):
    """
    Resize all images in the specified folder to 32x32.
    """
    for filename in os.listdir(folder_path):
        # Check if the file is an image
        if any(filename.endswith(ext) for ext in ['.jpg', '.png', '.gif', '.bmp']):
            # Open the image
            image_path = os.path.join(folder_path, filename)
            with Image.open(image_path) as image:
                # Resize the image
                resized_image = image.resize((32, 32))
                # Save the resized image, overwriting the original file
                resized_image.save(image_path)
                print(f"Resized {filename}")

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"):
    """
    Resize all images in the specified folder to 32x32.
    """
    for filename in os.listdir(folder_path):
        # Check if the file is an image
        if any(filename.endswith(ext) for ext in ['.jpg', '.png', '.gif', '.bmp']):
            # Open the image
            image_path = os.path.join(folder_path, filename)
            with Image.open(image_path) as image:
                # Resize the image
                resized_image = image.resize((32, 32))
                # Save the resized image, overwriting the original file
                resized_image.save(image_path)
                print(f"Resized {filename}")

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

PyFunc

size is (674, 312) 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

Here's the Python function that resizes all image files in the `/tmp` folder to 32x32 using the Pillow library: 

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import os
from PIL import Image

def resize_image(folder_path="/tmp"):
    for filename in os.listdir(folder_path):
        if filename.endswith(".jpg") or filename.endswith(".png"):
            img_path = os.path.join(folder_path, filename)
            img = Image.open(img_path)
            img = img.resize((32, 32))
            img.save(img_path)
            print(f"Resized {filename} to 32x32")

if __name__ == "__main__":
    resize_image()
To run this code, save it in a file (e.g., `resize_images.py`) and run it with Python: 
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python resize_images.py
Here's how the `resize_image()` function works: 1. The function takes an optional `folder_path` parameter, which defaults to `/tmp`. 2. It uses `os.listdir(folder_path)` to get a list of all files in the specified folder. 3. For each file that ends with `.jpg` or `.png` (assumed to be an image file), it constructs the full path using `os.path.join(folder_path, filename)`. 4. The image file is opened using `Image.open(img_path)` from the Pillow library. 5. The image is resized to 32x32 pixels using `img.resize((32, 32))`. 6. The resized image is saved back to the same file path using `img.save(img_path)`, overwriting the original file. 7. A message is printed to the console indicating which file was resized. Note that this function will overwrite the original image files in the `/tmp` folder with their resized versions. If you want to keep the original files, you should modify the code to save the resized images in a separate folder or with a different filename. Also, make sure you have the Pillow library installed (`pip install pillow`) before running this code.

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"):
    for filename in os.listdir(folder_path):
        if filename.endswith(".jpg") or filename.endswith(".png"):
            img_path = os.path.join(folder_path, filename)
            img = Image.open(img_path)
            img = img.resize((32, 32))
            img.save(img_path)
            print(f"Resized {filename} to 32x32")

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"):
    for filename in os.listdir(folder_path):
        if filename.endswith(".jpg") or filename.endswith(".png"):
            img_path = os.path.join(folder_path, filename)
            img = Image.open(img_path)
            img = img.resize((32, 32))
            img.save(img_path)
            print(f"Resized {filename} to 32x32")

if __name__ == "__main__":
    resize_image()
And got the output: Resized random_image_5.jpg to 32x32 Resized random_image_6.jpg to 32x32 Resized random_image_2.jpg to 32x32 Resized random_image_10.jpg to 32x32 Resized random_image_4.jpg to 32x32

PyFunc

size is (328, 610) final: False Resulting in output: False