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

Here is a Python script that will merge the content of the files in /tmp/files into 16 files called /tmp/merged_%d where each merged file is approximately the same size: 

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import os

# Define the number of merged files
num_merged_files = 16

# Create a list to hold the file paths
file_paths = []

# Read the file paths from /tmp/files
with open('/tmp/files', 'r') as f:
    file_paths = f.read().splitlines()

# Calculate the size of each merged file
total_files = len(file_paths)
files_per_merged_file = total_files // num_merged_files

# Merge the content of the files into the merged files
for i in range(num_merged_files):
    merged_file_path = f'/tmp/merged_{i}'
    with open(merged_file_path, 'w') as merged_file:
        for file_path in file_paths[i*files_per_merged_file:(i+1)*files_per_merged_file]:
            with open(file_path, 'r') as file:
                merged_file.write(file.read())

# Merge any remaining files into the last merged file
with open(f'/tmp/merged_{num_merged_files-1}', 'a') as last_merged_file:
    for file_path in file_paths[(num_merged_files-1)*files_per_merged_file:]:
        with open(file_path, 'r') as file:
            last_merged_file.write(file.read())
This script reads the list of file paths from /tmp/files, calculates the size of each merged file based on the total number of files and the number of desired merged files, and then merges the content of the files into the 16 merged files. Any remaining files are merged into the last merged file. Make sure to run this script in the same directory where the /tmp/files is located.

Extract Code

I extracted the following code from that output: 

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import os

# Define the number of merged files
num_merged_files = 16

# Create a list to hold the file paths
file_paths = []

# Read the file paths from /tmp/files
with open('/tmp/files', 'r') as f:
    file_paths = f.read().splitlines()

# Calculate the size of each merged file
total_files = len(file_paths)
files_per_merged_file = total_files // num_merged_files

# Merge the content of the files into the merged files
for i in range(num_merged_files):
    merged_file_path = f'/tmp/merged_{i}'
    with open(merged_file_path, 'w') as merged_file:
        for file_path in file_paths[i*files_per_merged_file:(i+1)*files_per_merged_file]:
            with open(file_path, 'r') as file:
                merged_file.write(file.read())

# Merge any remaining files into the last merged file
with open(f'/tmp/merged_{num_merged_files-1}', 'a') as last_merged_file:
    for file_path in file_paths[(num_merged_files-1)*files_per_merged_file:]:
        with open(file_path, 'r') as file:
            last_merged_file.write(file.read())

Run Code Interpreter

Running the following program: 

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import os

# Define the number of merged files
num_merged_files = 16

# Create a list to hold the file paths
file_paths = []

# Read the file paths from /tmp/files
with open('/tmp/files', 'r') as f:
    file_paths = f.read().splitlines()

# Calculate the size of each merged file
total_files = len(file_paths)
files_per_merged_file = total_files // num_merged_files

# Merge the content of the files into the merged files
for i in range(num_merged_files):
    merged_file_path = f'/tmp/merged_{i}'
    with open(merged_file_path, 'w') as merged_file:
        for file_path in file_paths[i*files_per_merged_file:(i+1)*files_per_merged_file]:
            with open(file_path, 'r') as file:
                merged_file.write(file.read())

# Merge any remaining files into the last merged file
with open(f'/tmp/merged_{num_merged_files-1}', 'a') as last_merged_file:
    for file_path in file_paths[(num_merged_files-1)*files_per_merged_file:]:
        with open(file_path, 'r') as file:
            last_merged_file.write(file.read())
And got the output:

PyFunc

final: False Resulting in output: False

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

Here is a Python script that reads the file paths from /tmp/files, merges the content into 16 files called /tmp/merged_%d, and ensures that each merged file is approximately the same size: 

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import os

# Constants
files_dir = "/tmp/files"
merged_dir = "/tmp/merged_{}"
num_merged_files = 16

# Create directories if they don't exist
os.makedirs(files_dir, exist_ok=True)
for i in range(num_merged_files):
    os.makedirs(merged_dir.format(i), exist_ok=True)

# Read file paths from /tmp/files
file_paths = []
with open(files_dir, 'r') as file:
    file_paths = file.readlines()

# Calculate number of files per merged file
files_per_merged_file = len(file_paths) // num_merged_files

# Merge content into 16 files
for i in range(num_merged_files):
    merged_file_path = merged_dir.format(i)
    with open(merged_file_path, 'w') as merged_file:
        for j in range(i * files_per_merged_file, (i + 1) * files_per_merged_file):
            file_path = file_paths[j].strip()
            with open(file_path, 'r') as file:
                merged_file.write(file.read())
Please make sure to run this script with appropriate permissions and ensure that the file paths in /tmp/files are correct and accessible. Additionally, you may need to modify the script based on the actual content and structure of the files in /tmp/files.

Extract Code

I extracted the following code from that output: 

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import os

# Constants
files_dir = "/tmp/files"
merged_dir = "/tmp/merged_{}"
num_merged_files = 16

# Create directories if they don't exist
os.makedirs(files_dir, exist_ok=True)
for i in range(num_merged_files):
    os.makedirs(merged_dir.format(i), exist_ok=True)

# Read file paths from /tmp/files
file_paths = []
with open(files_dir, 'r') as file:
    file_paths = file.readlines()

# Calculate number of files per merged file
files_per_merged_file = len(file_paths) // num_merged_files

# Merge content into 16 files
for i in range(num_merged_files):
    merged_file_path = merged_dir.format(i)
    with open(merged_file_path, 'w') as merged_file:
        for j in range(i * files_per_merged_file, (i + 1) * files_per_merged_file):
            file_path = file_paths[j].strip()
            with open(file_path, 'r') as file:
                merged_file.write(file.read())

Run Code Interpreter

Running the following program: 

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import os

# Constants
files_dir = "/tmp/files"
merged_dir = "/tmp/merged_{}"
num_merged_files = 16

# Create directories if they don't exist
os.makedirs(files_dir, exist_ok=True)
for i in range(num_merged_files):
    os.makedirs(merged_dir.format(i), exist_ok=True)

# Read file paths from /tmp/files
file_paths = []
with open(files_dir, 'r') as file:
    file_paths = file.readlines()

# Calculate number of files per merged file
files_per_merged_file = len(file_paths) // num_merged_files

# Merge content into 16 files
for i in range(num_merged_files):
    merged_file_path = merged_dir.format(i)
    with open(merged_file_path, 'w') as merged_file:
        for j in range(i * files_per_merged_file, (i + 1) * files_per_merged_file):
            file_path = file_paths[j].strip()
            with open(file_path, 'r') as file:
                merged_file.write(file.read())
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 10, in <module> os.makedirs(files_dir, exist_ok=True) File "<frozen os>", line 225, in makedirs FileExistsError: [Errno 17] File exists: '/tmp/files'

PyFunc

Traceback (most recent call last): File "/usr/src/app/check.py", line 20, in <module> print('final: ' + str(test())) ^^^^^^ File "/usr/src/app/check.py", line 6, in test sz.append(len(open("/tmp/merged_%d" % i).read())) ^^^^^^^^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: '/tmp/merged_0' Resulting in output: False

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

Here is a Python script that accomplishes this task: 

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import os

# Read the list of file paths
file_paths = []
with open('/tmp/files', 'r') as f:
    file_paths = f.read().splitlines()

# Determine the number of files to split the content into
num_files = 16
file_size = len(file_paths) // num_files

# Create and write content to the merged files
for i in range(num_files):
    merged_file_path = f'/tmp/merged_{i}'
    with open(merged_file_path, 'w') as f:
        start_index = i * file_size
        end_index = start_index + file_size
        for path in file_paths[start_index:end_index]:
            with open(path, 'r') as file:
                f.write(file.read() + '\n')

# Check if there are any remaining file paths
remaining_file_paths = file_paths[num_files * file_size:]
if remaining_file_paths:
    with open('/tmp/merged_15', 'a') as f:
        for path in remaining_file_paths:
            with open(path, 'r') as file:
                f.write(file.read() + '\n')

print("Merge completed successfully!")
This script reads the list of file paths from `/tmp/files`, splits the content into 16 files, and writes the merged content to files named `/tmp/merged_0` to `/tmp/merged_15`. The content is evenly distributed among the 16 files, and any remaining content is appended to the last file (`/tmp/merged_15`).

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:
    file_paths = f.read().splitlines()

# Determine the number of files to split the content into
num_files = 16
file_size = len(file_paths) // num_files

# Create and write content to the merged files
for i in range(num_files):
    merged_file_path = f'/tmp/merged_{i}'
    with open(merged_file_path, 'w') as f:
        start_index = i * file_size
        end_index = start_index + file_size
        for path in file_paths[start_index:end_index]:
            with open(path, 'r') as file:
                f.write(file.read() + '\n')

# Check if there are any remaining file paths
remaining_file_paths = file_paths[num_files * file_size:]
if remaining_file_paths:
    with open('/tmp/merged_15', 'a') as f:
        for path in remaining_file_paths:
            with open(path, 'r') as file:
                f.write(file.read() + '\n')

print("Merge completed successfully!")

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:
    file_paths = f.read().splitlines()

# Determine the number of files to split the content into
num_files = 16
file_size = len(file_paths) // num_files

# Create and write content to the merged files
for i in range(num_files):
    merged_file_path = f'/tmp/merged_{i}'
    with open(merged_file_path, 'w') as f:
        start_index = i * file_size
        end_index = start_index + file_size
        for path in file_paths[start_index:end_index]:
            with open(path, 'r') as file:
                f.write(file.read() + '\n')

# Check if there are any remaining file paths
remaining_file_paths = file_paths[num_files * file_size:]
if remaining_file_paths:
    with open('/tmp/merged_15', 'a') as f:
        for path in remaining_file_paths:
            with open(path, 'r') as file:
                f.write(file.read() + '\n')

print("Merge completed successfully!")
And got the output: Merge completed successfully!

PyFunc

final: False Resulting in output: False

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

Here is a python script that reads the file paths from /tmp/files, merges the content into 16 files called /tmp/merged_%d, where each file is approximately the same size: 

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import os

# Define the number of files to merge
num_files = 16

# Read the file paths from /tmp/files
file_paths = []
with open('/tmp/files', 'r') as f:
    file_paths = f.readlines()

# Calculate the number of file paths per merged file
num_paths_per_file = len(file_paths) // num_files

# Merge the content into 16 files
for i in range(num_files):
    # Open the merged file for writing
    with open(f'/tmp/merged_{i}', 'w') as merged_file:
        # Write a portion of the file paths to the merged file
        start_index = i * num_paths_per_file
        end_index = (i + 1) * num_paths_per_file if i != num_files - 1 else len(file_paths)
        merged_file.writelines(file_paths[start_index:end_index])
This script will read the file paths from /tmp/files, divide them into 16 portions, and write each portion to a separate merged file in /tmp/merged_%d. Each merged file will contain approximately the same number of file paths.

Extract Code

I extracted the following code from that output: 

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import os

# Define the number of files to merge
num_files = 16

# Read the file paths from /tmp/files
file_paths = []
with open('/tmp/files', 'r') as f:
    file_paths = f.readlines()

# Calculate the number of file paths per merged file
num_paths_per_file = len(file_paths) // num_files

# Merge the content into 16 files
for i in range(num_files):
    # Open the merged file for writing
    with open(f'/tmp/merged_{i}', 'w') as merged_file:
        # Write a portion of the file paths to the merged file
        start_index = i * num_paths_per_file
        end_index = (i + 1) * num_paths_per_file if i != num_files - 1 else len(file_paths)
        merged_file.writelines(file_paths[start_index:end_index])

Run Code Interpreter

Running the following program: 

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import os

# Define the number of files to merge
num_files = 16

# Read the file paths from /tmp/files
file_paths = []
with open('/tmp/files', 'r') as f:
    file_paths = f.readlines()

# Calculate the number of file paths per merged file
num_paths_per_file = len(file_paths) // num_files

# Merge the content into 16 files
for i in range(num_files):
    # Open the merged file for writing
    with open(f'/tmp/merged_{i}', 'w') as merged_file:
        # Write a portion of the file paths to the merged file
        start_index = i * num_paths_per_file
        end_index = (i + 1) * num_paths_per_file if i != num_files - 1 else len(file_paths)
        merged_file.writelines(file_paths[start_index:end_index])
And got the output:

PyFunc

final: False Resulting in output: False

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

Here is a Python script that accomplishes this task: 

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import os

# Define the number of output files
num_files = 16

# Create output files
output_files = [open(f'/tmp/merged_{i}', 'w') for i in range(num_files)]

# Initialize variables
file_index = 0
total_lines = 0

# Iterate through the input file paths
with open('/tmp/files', 'r') as f:
    for line in f:
        # Read the content of the file
        with open(line.strip(), 'r') as input_file:
            content = input_file.readlines()
        
        # Calculate the number of lines to write to each output file
        lines_per_file = len(content) // num_files
        
        # Write content to output files
        for i in range(num_files):
            start_index = i * lines_per_file
            end_index = (i + 1) * lines_per_file if i < num_files - 1 else len(content)
            output_files[i].writelines(content[start_index:end_index])
        
        total_lines += len(content)
        
        # Check if we need to switch to the next output file
        if total_lines >= lines_per_file:
            file_index += 1
            total_lines = 0

# Close all output files
for output_file in output_files:
    output_file.close()
This script reads the list of file paths from `/tmp/files` and merges the content of these files into 16 output files called `/tmp/merged_0`, `/tmp/merged_1`, ..., `/tmp/merged_15`. Each output file will have approximately the same size. Please make sure to test this script on a small set of input files before running it on several thousand file paths to ensure it works as expected.

Extract Code

I extracted the following code from that output: 

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import os

# Define the number of output files
num_files = 16

# Create output files
output_files = [open(f'/tmp/merged_{i}', 'w') for i in range(num_files)]

# Initialize variables
file_index = 0
total_lines = 0

# Iterate through the input file paths
with open('/tmp/files', 'r') as f:
    for line in f:
        # Read the content of the file
        with open(line.strip(), 'r') as input_file:
            content = input_file.readlines()
        
        # Calculate the number of lines to write to each output file
        lines_per_file = len(content) // num_files
        
        # Write content to output files
        for i in range(num_files):
            start_index = i * lines_per_file
            end_index = (i + 1) * lines_per_file if i < num_files - 1 else len(content)
            output_files[i].writelines(content[start_index:end_index])
        
        total_lines += len(content)
        
        # Check if we need to switch to the next output file
        if total_lines >= lines_per_file:
            file_index += 1
            total_lines = 0

# Close all output files
for output_file in output_files:
    output_file.close()

Run Code Interpreter

Running the following program: 

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import os

# Define the number of output files
num_files = 16

# Create output files
output_files = [open(f'/tmp/merged_{i}', 'w') for i in range(num_files)]

# Initialize variables
file_index = 0
total_lines = 0

# Iterate through the input file paths
with open('/tmp/files', 'r') as f:
    for line in f:
        # Read the content of the file
        with open(line.strip(), 'r') as input_file:
            content = input_file.readlines()
        
        # Calculate the number of lines to write to each output file
        lines_per_file = len(content) // num_files
        
        # Write content to output files
        for i in range(num_files):
            start_index = i * lines_per_file
            end_index = (i + 1) * lines_per_file if i < num_files - 1 else len(content)
            output_files[i].writelines(content[start_index:end_index])
        
        total_lines += len(content)
        
        # Check if we need to switch to the next output file
        if total_lines >= lines_per_file:
            file_index += 1
            total_lines = 0

# Close all output files
for output_file in output_files:
    output_file.close()
And got the output:

PyFunc

final: False Resulting in output: False