Docker Setup

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

Initial Query

I have a list of several thousand file paths in /tmp/files. Write a python script that merges the content int 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. "/tmp/files" is a list of file paths, one per line.

LLM Generation

Query

I have a list of several thousand file paths in /tmp/files. Write a python script that merges the content int 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. "/tmp/files" is a list of file paths, one per line.

Output

To solve this problem, we will write a Python script that reads the list of file paths from `/tmp/files`, calculates the total size of all files, and then distributes the content into 16 files (`/tmp/merged_%d` for `i` in `0..15`) so that each of the merged files is approximately the same size. Here is a step-by-step Python script to accomplish this task: 

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import os

# Read the list of file paths
file_paths = []
with open('/tmp/files', 'r') as f:
    for line in f:
        file_paths.append(line.strip())

# Calculate the total size of all files
total_size = 0
for file_path in file_paths:
    total_size += os.path.getsize(file_path)

# Calculate the target size for each merged file
target_size = total_size // 16

# Initialize the merged files
merged_files = []
for i in range(16):
    merged_file_path = f'/tmp/merged_{i}'
    merged_files.append(open(merged_file_path, 'wb'))

# Initialize the index of the current merged file
current_file_index = 0
current_file_size = 0

# Merge the files
for file_path in file_paths:
    with open(file_path, 'rb') as f:
        while True:
            chunk = f.read(4096)
            if not chunk:
                break
            # Write the chunk to the current merged file
            merged_files[current_file_index].write(chunk)
            current_file_size += len(chunk)
            # If the current merged file is full, move to the next one
            if current_file_size >= target_size and current_file_index < 15:
                current_file_index += 1
                current_file_size = 0

# Close the merged files
for f in merged_files:
    f.close()
This script assumes that the list of file paths is in the file `/tmp/files`, one path per line. It calculates the total size of all files, then distributes the content into 16 merged files in `/tmp/merged_%d`. Each merged file will be approximately the same size, with the content distributed as evenly as possible. Please note that the script writes the merged files in binary mode (`'wb'`) to preserve the original content of the files, regardless of their type. Also, the script assumes that the files are readable and that the merged files can be written without any issues. Before running the script, make sure you have the necessary permissions to read the files and write to the destination directory. Additionally, be aware that this script will overwrite any existing files with the same names in the destination directory.

Extract Code

I extracted the following code from that output: 

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import os

# Read the list of file paths
file_paths = []
with open('/tmp/files', 'r') as f:
    for line in f:
        file_paths.append(line.strip())

# Calculate the total size of all files
total_size = 0
for file_path in file_paths:
    total_size += os.path.getsize(file_path)

# Calculate the target size for each merged file
target_size = total_size // 16

# Initialize the merged files
merged_files = []
for i in range(16):
    merged_file_path = f'/tmp/merged_{i}'
    merged_files.append(open(merged_file_path, 'wb'))

# Initialize the index of the current merged file
current_file_index = 0
current_file_size = 0

# Merge the files
for file_path in file_paths:
    with open(file_path, 'rb') as f:
        while True:
            chunk = f.read(4096)
            if not chunk:
                break
            # Write the chunk to the current merged file
            merged_files[current_file_index].write(chunk)
            current_file_size += len(chunk)
            # If the current merged file is full, move to the next one
            if current_file_size >= target_size and current_file_index < 15:
                current_file_index += 1
                current_file_size = 0

# Close the merged files
for f in merged_files:
    f.close()

Run Code Interpreter

Running the following program: 

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import os

# Read the list of file paths
file_paths = []
with open('/tmp/files', 'r') as f:
    for line in f:
        file_paths.append(line.strip())

# Calculate the total size of all files
total_size = 0
for file_path in file_paths:
    total_size += os.path.getsize(file_path)

# Calculate the target size for each merged file
target_size = total_size // 16

# Initialize the merged files
merged_files = []
for i in range(16):
    merged_file_path = f'/tmp/merged_{i}'
    merged_files.append(open(merged_file_path, 'wb'))

# Initialize the index of the current merged file
current_file_index = 0
current_file_size = 0

# Merge the files
for file_path in file_paths:
    with open(file_path, 'rb') as f:
        while True:
            chunk = f.read(4096)
            if not chunk:
                break
            # Write the chunk to the current merged file
            merged_files[current_file_index].write(chunk)
            current_file_size += len(chunk)
            # If the current merged file is full, move to the next one
            if current_file_size >= target_size and current_file_index < 15:
                current_file_index += 1
                current_file_size = 0

# Close the merged files
for f in merged_files:
    f.close()
And got the output:

PyFunc

final: False Resulting in output: False