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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
    """
    Resizes all images in the given folder to 32x32 pixels and overwrites them.

    Args:
        folder_path (str, optional): The path to the folder containing the images.
                                      Defaults to "/tmp".
    """

    for filename in os.listdir(folder_path):
        if filename.endswith((".jpg", ".jpeg", ".png")):  # Check for common image extensions
            filepath = os.path.join(folder_path, filename)

            try:
                # Open the image
                img = Image.open(filepath)

                # Resize the image
                img = img.resize((32, 32))

                # Save the resized image, overwriting the original
                img.save(filepath)

                print(f"Resized: {filename}")

            except IOError:
                print(f"Unable to open or resize: {filename}")

# Example usage:
resize_image()
**Explanation:** 1. **Import necessary modules:** - `os`: For interacting with the file system. - `Image` from `PIL`: For working with images. 2. **Define the `resize_image` function:** - It takes an optional `folder_path` argument, defaulting to "/tmp". 3. **Iterate through files in the folder:** - Use `os.listdir(folder_path)` to get a list of all files and directories in the given folder. - Filter for image files by checking if the filename ends with common image extensions (".jpg", ".jpeg", ".png"). 4. **Open, resize, and save each image:** - Construct the full file path using `os.path.join(folder_path, filename)`. - Use a `try-except` block to handle potential `IOError` exceptions that might occur if a file cannot be opened or resized. - **Inside the `try` block:** - Open the image using `Image.open(filepath)`. - Resize the image to 32x32 pixels using `img.resize((32, 32))`. - Save the resized image back to the same filepath, overwriting the original, using `img.save(filepath)`. - Print a message indicating the image was resized. - **Inside the `except IOError` block:** - Print an error message if there's an issue opening or resizing the file. 5. **Call the function (optional):** - The line `resize_image()` at the end will call the function with the default folder path "/tmp" when you run the script. You can change this to a different path if needed. **To use this code:** 1. Save it as a Python file (e.g., `resize_images.py`). 2. **Important:** Make sure the folder you specify (default "/tmp") contains only images you want to resize, as this will overwrite the original files. 3. Run the script from your terminal using `python resize_images.py`.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
    """
    Resizes all images in the given folder to 32x32 pixels and overwrites them.

    Args:
        folder_path (str, optional): The path to the folder containing the images.
                                      Defaults to "/tmp".
    """

    for filename in os.listdir(folder_path):
        if filename.endswith((".jpg", ".jpeg", ".png")):  # Check for common image extensions
            filepath = os.path.join(folder_path, filename)

            try:
                # Open the image
                img = Image.open(filepath)

                # Resize the image
                img = img.resize((32, 32))

                # Save the resized image, overwriting the original
                img.save(filepath)

                print(f"Resized: {filename}")

            except IOError:
                print(f"Unable to open or resize: {filename}")

# Example usage:
resize_image()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
    """
    Resizes all images in the given folder to 32x32 pixels and overwrites them.

    Args:
        folder_path (str, optional): The path to the folder containing the images.
                                      Defaults to "/tmp".
    """

    for filename in os.listdir(folder_path):
        if filename.endswith((".jpg", ".jpeg", ".png")):  # Check for common image extensions
            filepath = os.path.join(folder_path, filename)

            try:
                # Open the image
                img = Image.open(filepath)

                # Resize the image
                img = img.resize((32, 32))

                # Save the resized image, overwriting the original
                img.save(filepath)

                print(f"Resized: {filename}")

            except IOError:
                print(f"Unable to open or resize: {filename}")

# Example usage:
resize_image()
And got the output: Resized: random_image_7.jpeg Resized: random_image_9.jpg Resized: random_image_8.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.jpeg Resized: random_image_10.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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in the given folder to 32x32 pixels and overwrites them.

  Args:
      folder_path (str): The path to the folder containing the images. 
                         Defaults to '/tmp'.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith(('.jpg', '.jpeg', '.png')): 
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

# Call the function with the desired folder path
resize_image()
**How to use this code:** 1. **Save:** Save the code above as a Python file (e.g., `resize_images.py`). 2. **Run:** Open a terminal or command prompt, navigate to the directory where you saved the file, and run the script using: `python resize_images.py` 3. **Specify Folder (Optional):** - If your images are in a different folder, you can specify the path when calling the function: 
1
2
     python resize_images.py /path/to/your/folder
- For example: `python resize_images.py /home/user/Pictures` **Important Notes:** * **Backups:** It's highly recommended to create a backup of your images before running this script, as the resizing process will overwrite the original files. * **Image Formats:** The code is set up to resize common image formats (.jpg, .jpeg, .png). You can add more formats to the `if filename.endswith(...)` line if needed. * **Error Handling:** The `try...except IOError` block helps handle situations where the script might encounter issues opening or resizing certain files.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in the given folder to 32x32 pixels and overwrites them.

  Args:
      folder_path (str): The path to the folder containing the images. 
                         Defaults to '/tmp'.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith(('.jpg', '.jpeg', '.png')): 
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

# Call the function with the desired folder path
resize_image()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in the given folder to 32x32 pixels and overwrites them.

  Args:
      folder_path (str): The path to the folder containing the images. 
                         Defaults to '/tmp'.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith(('.jpg', '.jpeg', '.png')): 
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

# Call the function with the desired folder path
resize_image()
And got the output: Resized and saved: random_image_5.jpg Resized and saved: random_image_1.jpeg Resized and saved: random_image_8.jpg Resized and saved: random_image_6.jpg Resized and saved: random_image_7.jpg 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.jpg Resized and saved: random_image_10.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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in a folder to 32x32 pixels and overwrites them.

  Args:
      folder_path (str): The path to the folder containing the images.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith((".jpg", ".jpeg", ".png", ".gif", ".bmp")):
      image_path = os.path.join(folder_path, filename)
      try:
        # Open the image
        img = Image.open(image_path)

        # Resize the image
        img = img.resize((32, 32))

        # Save the resized image, overwriting the original
        img.save(image_path)

        print(f"Resized and saved: {filename}")

      except IOError:
        print(f"Unable to process image: {filename}")

# Example usage:
resize_image()  # Uses the default folder /tmp
**Explanation:** 1. **Import necessary modules:** - `os`: For interacting with the file system. - `Image` from `PIL`: For image manipulation. 2. **Define `resize_image` function:** - Takes an optional `folder_path` argument, defaulting to "/tmp". - Iterates through each `filename` in the folder: - Checks if the filename ends with common image extensions. - Constructs the full `image_path`. - Uses a `try...except` block to handle potential `IOError` exceptions (e.g., if a file is not a valid image). - Opens the image using `Image.open()`. - Resizes the image to 32x32 pixels using `img.resize((32, 32))`. - Saves the resized image back to the same `image_path`, overwriting the original file. - Prints a message indicating success or failure for each image. 3. **Example usage:** - Calls `resize_image()` with no arguments, which will use the default folder "/tmp". **To use this code:** 1. **Save it as a Python file:** For example, `resize_images.py`. 2. **Open a terminal or command prompt.** 3. **Run the script:** `python resize_images.py` **Important Notes:** - **Back up your images:** This script overwrites the original images. Make sure to back them up before running the code if you need to keep the originals. - **Adjust the folder path:** If your images are in a different folder, change the `folder_path` argument in the `resize_image()` call or when defining the function. - **Error handling:** The `try...except` block handles potential errors when opening or processing images.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in a folder to 32x32 pixels and overwrites them.

  Args:
      folder_path (str): The path to the folder containing the images.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith((".jpg", ".jpeg", ".png", ".gif", ".bmp")):
      image_path = os.path.join(folder_path, filename)
      try:
        # Open the image
        img = Image.open(image_path)

        # Resize the image
        img = img.resize((32, 32))

        # Save the resized image, overwriting the original
        img.save(image_path)

        print(f"Resized and saved: {filename}")

      except IOError:
        print(f"Unable to process image: {filename}")

# Example usage:
resize_image()  # Uses the default folder /tmp

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in a folder to 32x32 pixels and overwrites them.

  Args:
      folder_path (str): The path to the folder containing the images.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith((".jpg", ".jpeg", ".png", ".gif", ".bmp")):
      image_path = os.path.join(folder_path, filename)
      try:
        # Open the image
        img = Image.open(image_path)

        # Resize the image
        img = img.resize((32, 32))

        # Save the resized image, overwriting the original
        img.save(image_path)

        print(f"Resized and saved: {filename}")

      except IOError:
        print(f"Unable to process image: {filename}")

# Example usage:
resize_image()  # Uses the default folder /tmp
And got the output: Resized and saved: random_image_5.jpg Resized and saved: random_image_1.jpeg Resized and saved: random_image_8.jpg Resized and saved: random_image_2.jpg Resized and saved: random_image_7.jpg Resized and saved: random_image_4.jpeg Resized and saved: random_image_9.jpeg Resized and saved: random_image_3.jpeg Resized and saved: random_image_10.jpeg Resized and saved: 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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images within a folder to 32x32 pixels and overwrites them.

  Args:
    folder_path: The path to the folder containing the images. Defaults to '/tmp'.
  """
  for filename in os.listdir(folder_path):
    if filename.endswith(('.jpg', '.jpeg', '.png')):  # Add other extensions if needed
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

if __name__ == "__main__":
  resize_image()
**Explanation:** 1. **Import necessary modules:** - `os`: Used for interacting with the file system (listing files in a directory). - `Image` from `PIL`: Used for opening, resizing, and saving images. 2. **Define the `resize_image` function:** - Takes an optional `folder_path` argument (defaulting to `/tmp`). - Uses `os.listdir()` to get a list of all files in the specified folder. - Iterates through each `filename` in the list: - Checks if the filename ends with common image extensions (`.jpg`, `.jpeg`, `.png`). - Constructs the full `image_path` using `os.path.join()`. - Uses a `try-except` block to handle potential errors while opening or resizing images: - Opens the image using `Image.open()`. - Resizes the image to 32x32 pixels using `img.resize((32, 32))`. - Saves the resized image back to the original file using `img.save(image_path)`, overwriting the original. - Prints a message indicating success or failure. 3. **Run the function if the script is executed directly:** - The `if __name__ == "__main__":` block ensures that the `resize_image()` function is only called when the script is run directly (not imported as a module). **To use the code:** 1. Save it as a Python file (e.g., `resize_images.py`). 2. **Make sure you have the Pillow (PIL) library installed:** If not, run `pip install pillow`. 3. **Run the script from your terminal:** 
1
2
   python resize_images.py
This will resize all images in the `/tmp` folder by default. 4. **To specify a different folder:** 
1
2
   python resize_images.py /path/to/your/folder
Replace `/path/to/your/folder` with the actual path.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images within a folder to 32x32 pixels and overwrites them.

  Args:
    folder_path: The path to the folder containing the images. Defaults to '/tmp'.
  """
  for filename in os.listdir(folder_path):
    if filename.endswith(('.jpg', '.jpeg', '.png')):  # Add other extensions if needed
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

if __name__ == "__main__":
  resize_image()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
import os
from PIL import Image

def resize_image(folder_path="/tmp"):
  """
  Resizes all images within a folder to 32x32 pixels and overwrites them.

  Args:
    folder_path: The path to the folder containing the images. Defaults to '/tmp'.
  """
  for filename in os.listdir(folder_path):
    if filename.endswith(('.jpg', '.jpeg', '.png')):  # Add other extensions if needed
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

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

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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
from PIL import Image
import os

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in a given folder to 32x32 pixels and overwrites the originals.

  Args:
    folder_path: The path to the folder containing the images. 
                  Defaults to "/tmp" if no path is provided.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith((".jpg", ".jpeg", ".png", ".bmp")):
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

# Call the function with the desired folder path
resize_image()
**Explanation:** 1. **Import Necessary Modules:** - `Image` from `PIL` is imported for image manipulation. - `os` is imported for interacting with the file system. 2. **Define the `resize_image` Function:** - It takes an optional `folder_path` argument, defaulting to "/tmp". - It iterates through each file in the specified folder using `os.listdir()`. 3. **Check for Image Files:** - For each file, it checks if the filename ends with common image extensions (".jpg", ".jpeg", ".png", ".bmp"). 4. **Open, Resize, and Save Images:** - If the file is an image: - It constructs the full image path using `os.path.join()`. - It uses a `try...except` block to handle potential errors when opening or resizing images. - `Image.open()` opens the image. - `img.resize((32, 32))` resizes the image to 32x32 pixels. - `img.save(image_path)` saves the resized image, overwriting the original file. - A message is printed indicating success or failure. 5. **Call the Function:** - The `resize_image()` function is called without any arguments, so it will use the default folder path "/tmp". If you want to specify a different folder, pass it as an argument: `resize_image("/path/to/your/folder")`. **To use this code:** 1. **Save it as a Python file:** For example, `resize.py`. 2. **Run it from your terminal:** Open your terminal or command prompt, navigate to the directory where you saved the file, and run `python resize.py`. **Remember:** Make sure you have the Pillow library installed. If not, install it using `pip install pillow`.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
from PIL import Image
import os

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in a given folder to 32x32 pixels and overwrites the originals.

  Args:
    folder_path: The path to the folder containing the images. 
                  Defaults to "/tmp" if no path is provided.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith((".jpg", ".jpeg", ".png", ".bmp")):
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

# Call the function with the desired folder path
resize_image()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
from PIL import Image
import os

def resize_image(folder_path="/tmp"):
  """
  Resizes all images in a given folder to 32x32 pixels and overwrites the originals.

  Args:
    folder_path: The path to the folder containing the images. 
                  Defaults to "/tmp" if no path is provided.
  """

  for filename in os.listdir(folder_path):
    if filename.endswith((".jpg", ".jpeg", ".png", ".bmp")):
      image_path = os.path.join(folder_path, filename)
      try:
        with Image.open(image_path) as img:
          img = img.resize((32, 32))
          img.save(image_path)
          print(f"Resized and saved: {filename}")
      except IOError:
        print(f"Unable to open or resize: {filename}")

# Call the function with the desired folder path
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_8.jpg Resized and saved: random_image_5.jpeg Resized and saved: random_image_4.jpeg Resized and saved: random_image_9.jpeg Resized and saved: random_image_10.jpg Resized and saved: random_image_2.jpeg Resized and saved: random_image_3.jpeg Resized and saved: random_image_6.jpeg

PyFunc

final: True Resulting in output: True