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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

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import os
import shutil
import tempfile

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

# Sort the files by size (largest first)
files.sort(key=os.path.getsize, reverse=True)

# Create a temporary directory to store the merged files
tmp_dir = tempfile.mkdtemp()

# Merge the files into a single file
with open(os.path.join(tmp_dir, 'merged'), 'wb') as merged:
    for file in files:
        with open(file, 'rb') as f:
            shutil.copyfileobj(f, merged)

# Split the merged file into 16 smaller files
file_size = os.path.getsize(os.path.join(tmp_dir, 'merged'))
split_size = file_size // 16

with open(os.path.join(tmp_dir, 'merged'), 'rb') as merged:
    for i in range(16):
        with open(os.path.join('/tmp', 'merged_{}'.format(i)), 'wb') as f:
            shutil.copyfileobj(merged, f, length=split_size)

# Clean up the temporary directory
shutil.rmtree(tmp_dir)

Extract Code

I extracted the following code from that output: 

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import os
import shutil
import tempfile

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

# Sort the files by size (largest first)
files.sort(key=os.path.getsize, reverse=True)

# Create a temporary directory to store the merged files
tmp_dir = tempfile.mkdtemp()

# Merge the files into a single file
with open(os.path.join(tmp_dir, 'merged'), 'wb') as merged:
    for file in files:
        with open(file, 'rb') as f:
            shutil.copyfileobj(f, merged)

# Split the merged file into 16 smaller files
file_size = os.path.getsize(os.path.join(tmp_dir, 'merged'))
split_size = file_size // 16

with open(os.path.join(tmp_dir, 'merged'), 'rb') as merged:
    for i in range(16):
        with open(os.path.join('/tmp', 'merged_{}'.format(i)), 'wb') as f:
            shutil.copyfileobj(merged, f, length=split_size)

# Clean up the temporary directory
shutil.rmtree(tmp_dir)

Run Code Interpreter

Running the following program: 

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import os
import shutil
import tempfile

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

# Sort the files by size (largest first)
files.sort(key=os.path.getsize, reverse=True)

# Create a temporary directory to store the merged files
tmp_dir = tempfile.mkdtemp()

# Merge the files into a single file
with open(os.path.join(tmp_dir, 'merged'), 'wb') as merged:
    for file in files:
        with open(file, 'rb') as f:
            shutil.copyfileobj(f, merged)

# Split the merged file into 16 smaller files
file_size = os.path.getsize(os.path.join(tmp_dir, 'merged'))
split_size = file_size // 16

with open(os.path.join(tmp_dir, 'merged'), 'rb') as merged:
    for i in range(16):
        with open(os.path.join('/tmp', 'merged_{}'.format(i)), 'wb') as f:
            shutil.copyfileobj(merged, f, length=split_size)

# Clean up the temporary directory
shutil.rmtree(tmp_dir)
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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

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import os
import shutil
from operator import itemgetter

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

# Sort the files by size (largest first)
files = sorted(files, key=lambda x: os.path.getsize(x), reverse=True)

# Create 16 empty files
for i in range(16):
    with open(f"/tmp/merged_{i}", "w") as f:
        pass

# Add files to the smallest merged file until it reaches the desired size
merged_file_sizes = [0] * 16
for file in files:
    # Find the smallest merged file
    smallest_file_index = min(range(16), key=lambda i: merged_file_sizes[i])

    # Add the file to the smallest merged file
    with open(f"/tmp/merged_{smallest_file_index}", "a") as f:
        shutil.copyfileobj(open(file, "rb"), f)

    # Update the size of the smallest merged file
    merged_file_sizes[smallest_file_index] += os.path.getsize(file)

Extract Code

I extracted the following code from that output: 

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import os
import shutil
from operator import itemgetter

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

# Sort the files by size (largest first)
files = sorted(files, key=lambda x: os.path.getsize(x), reverse=True)

# Create 16 empty files
for i in range(16):
    with open(f"/tmp/merged_{i}", "w") as f:
        pass

# Add files to the smallest merged file until it reaches the desired size
merged_file_sizes = [0] * 16
for file in files:
    # Find the smallest merged file
    smallest_file_index = min(range(16), key=lambda i: merged_file_sizes[i])

    # Add the file to the smallest merged file
    with open(f"/tmp/merged_{smallest_file_index}", "a") as f:
        shutil.copyfileobj(open(file, "rb"), f)

    # Update the size of the smallest merged file
    merged_file_sizes[smallest_file_index] += os.path.getsize(file)

Run Code Interpreter

Running the following program: 

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import os
import shutil
from operator import itemgetter

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

# Sort the files by size (largest first)
files = sorted(files, key=lambda x: os.path.getsize(x), reverse=True)

# Create 16 empty files
for i in range(16):
    with open(f"/tmp/merged_{i}", "w") as f:
        pass

# Add files to the smallest merged file until it reaches the desired size
merged_file_sizes = [0] * 16
for file in files:
    # Find the smallest merged file
    smallest_file_index = min(range(16), key=lambda i: merged_file_sizes[i])

    # Add the file to the smallest merged file
    with open(f"/tmp/merged_{smallest_file_index}", "a") as f:
        shutil.copyfileobj(open(file, "rb"), f)

    # Update the size of the smallest merged file
    merged_file_sizes[smallest_file_index] += os.path.getsize(file)
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 26, in <module> shutil.copyfileobj(open(file, "rb"), f) File "/usr/lib/python3.11/shutil.py", line 200, in copyfileobj fdst_write(buf) TypeError: write() argument must be str, not bytes

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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

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import os
import shutil

# Get the list of file paths
with open("/tmp/files") as f:
    file_paths = f.readlines()
file_paths = [path.strip() for path in file_paths]

# Sort the files by size (largest first)
file_sizes = {path: os.path.getsize(path) for path in file_paths}
sorted_file_paths = [path for path, size in sorted(file_sizes.items(), key=lambda item: item[1], reverse=True)]

# Create 16 empty files
for i in range(16):
    with open(f"/tmp/merged_{i}", "w") as f:
        pass

# Add files to the smallest one in order
current_file_index = 0
current_file_size = 0
for path in sorted_file_paths:
    # Get the size of the file
    file_size = os.path.getsize(path)

    # If the current file is too large, move to the next one
    if current_file_size + file_size > 1000000:
        current_file_index += 1
        current_file_size = 0

    # Append the file to the current one
    with open(f"/tmp/merged_{current_file_index}", "a") as f:
        with open(path) as f2:
            shutil.copyfileobj(f2, f)

    # Update the current file size
    current_file_size += file_size

Extract Code

I extracted the following code from that output: 

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import os
import shutil

# Get the list of file paths
with open("/tmp/files") as f:
    file_paths = f.readlines()
file_paths = [path.strip() for path in file_paths]

# Sort the files by size (largest first)
file_sizes = {path: os.path.getsize(path) for path in file_paths}
sorted_file_paths = [path for path, size in sorted(file_sizes.items(), key=lambda item: item[1], reverse=True)]

# Create 16 empty files
for i in range(16):
    with open(f"/tmp/merged_{i}", "w") as f:
        pass

# Add files to the smallest one in order
current_file_index = 0
current_file_size = 0
for path in sorted_file_paths:
    # Get the size of the file
    file_size = os.path.getsize(path)

    # If the current file is too large, move to the next one
    if current_file_size + file_size > 1000000:
        current_file_index += 1
        current_file_size = 0

    # Append the file to the current one
    with open(f"/tmp/merged_{current_file_index}", "a") as f:
        with open(path) as f2:
            shutil.copyfileobj(f2, f)

    # Update the current file size
    current_file_size += file_size

Run Code Interpreter

Running the following program: 

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import os
import shutil

# Get the list of file paths
with open("/tmp/files") as f:
    file_paths = f.readlines()
file_paths = [path.strip() for path in file_paths]

# Sort the files by size (largest first)
file_sizes = {path: os.path.getsize(path) for path in file_paths}
sorted_file_paths = [path for path, size in sorted(file_sizes.items(), key=lambda item: item[1], reverse=True)]

# Create 16 empty files
for i in range(16):
    with open(f"/tmp/merged_{i}", "w") as f:
        pass

# Add files to the smallest one in order
current_file_index = 0
current_file_size = 0
for path in sorted_file_paths:
    # Get the size of the file
    file_size = os.path.getsize(path)

    # If the current file is too large, move to the next one
    if current_file_size + file_size > 1000000:
        current_file_index += 1
        current_file_size = 0

    # Append the file to the current one
    with open(f"/tmp/merged_{current_file_index}", "a") as f:
        with open(path) as f2:
            shutil.copyfileobj(f2, f)

    # Update the current file size
    current_file_size += file_size
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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

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import os
import shutil

# Read the list of file paths
with open("/tmp/files") as f:
    files = f.readlines()

# Remove any empty lines
files = [f for f in files if f]

# Sort the files by size (largest first)
files.sort(key=os.path.getsize, reverse=True)

# Get the total size of all the files
total_size = sum(os.path.getsize(f) for f in files)

# Calculate the approximate size of each merged file
target_size = total_size // 16

# Create 16 empty files
merged_files = ["/tmp/merged_{}".format(i) for i in range(16)]
for f in merged_files:
    with open(f, "w"):
        pass

# Add files to the merged files in order, always adding to the smallest one
current_file = 0
for f in files:
    with open(f, "r") as infile:
        with open(merged_files[current_file], "a") as outfile:
            shutil.copyfileobj(infile, outfile)
    current_file = (current_file + 1) % 16

Extract Code

I extracted the following code from that output: 

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import os
import shutil

# Read the list of file paths
with open("/tmp/files") as f:
    files = f.readlines()

# Remove any empty lines
files = [f for f in files if f]

# Sort the files by size (largest first)
files.sort(key=os.path.getsize, reverse=True)

# Get the total size of all the files
total_size = sum(os.path.getsize(f) for f in files)

# Calculate the approximate size of each merged file
target_size = total_size // 16

# Create 16 empty files
merged_files = ["/tmp/merged_{}".format(i) for i in range(16)]
for f in merged_files:
    with open(f, "w"):
        pass

# Add files to the merged files in order, always adding to the smallest one
current_file = 0
for f in files:
    with open(f, "r") as infile:
        with open(merged_files[current_file], "a") as outfile:
            shutil.copyfileobj(infile, outfile)
    current_file = (current_file + 1) % 16

Run Code Interpreter

Running the following program: 

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import os
import shutil

# Read the list of file paths
with open("/tmp/files") as f:
    files = f.readlines()

# Remove any empty lines
files = [f for f in files if f]

# Sort the files by size (largest first)
files.sort(key=os.path.getsize, reverse=True)

# Get the total size of all the files
total_size = sum(os.path.getsize(f) for f in files)

# Calculate the approximate size of each merged file
target_size = total_size // 16

# Create 16 empty files
merged_files = ["/tmp/merged_{}".format(i) for i in range(16)]
for f in merged_files:
    with open(f, "w"):
        pass

# Add files to the merged files in order, always adding to the smallest one
current_file = 0
for f in files:
    with open(f, "r") as infile:
        with open(merged_files[current_file], "a") as outfile:
            shutil.copyfileobj(infile, outfile)
    current_file = (current_file + 1) % 16
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 13, in <module> files.sort(key=os.path.getsize, reverse=True) File "<frozen genericpath>", line 50, in getsize FileNotFoundError: [Errno 2] No such file or directory: '/tmp/a/file_0\n'

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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

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import os
import shutil
import stat
import tempfile

with open('/tmp/files', 'r') as f:
    files = [line.strip() for line in f]

# Sort files by size (largest first)
files.sort(key=lambda f: os.stat(f).st_size, reverse=True)

# Create 16 temporary files
merged_files = [tempfile.NamedTemporaryFile(dir='/tmp') for _ in range(16)]

# Add files in order always to the smallest one
for file in files:
    smallest = min(merged_files, key=lambda f: f.tell())
    with open(file, 'rb') as f:
        shutil.copyfileobj(f, smallest)

# Close all temporary files
for f in merged_files:
    f.close()

# Rename temporary files to /tmp/merged_%d
for i, f in enumerate(merged_files):
    os.rename(f.name, '/tmp/merged_{}'.format(i))

Extract Code

I extracted the following code from that output: 

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import os
import shutil
import stat
import tempfile

with open('/tmp/files', 'r') as f:
    files = [line.strip() for line in f]

# Sort files by size (largest first)
files.sort(key=lambda f: os.stat(f).st_size, reverse=True)

# Create 16 temporary files
merged_files = [tempfile.NamedTemporaryFile(dir='/tmp') for _ in range(16)]

# Add files in order always to the smallest one
for file in files:
    smallest = min(merged_files, key=lambda f: f.tell())
    with open(file, 'rb') as f:
        shutil.copyfileobj(f, smallest)

# Close all temporary files
for f in merged_files:
    f.close()

# Rename temporary files to /tmp/merged_%d
for i, f in enumerate(merged_files):
    os.rename(f.name, '/tmp/merged_{}'.format(i))

Run Code Interpreter

Running the following program: 

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import os
import shutil
import stat
import tempfile

with open('/tmp/files', 'r') as f:
    files = [line.strip() for line in f]

# Sort files by size (largest first)
files.sort(key=lambda f: os.stat(f).st_size, reverse=True)

# Create 16 temporary files
merged_files = [tempfile.NamedTemporaryFile(dir='/tmp') for _ in range(16)]

# Add files in order always to the smallest one
for file in files:
    smallest = min(merged_files, key=lambda f: f.tell())
    with open(file, 'rb') as f:
        shutil.copyfileobj(f, smallest)

# Close all temporary files
for f in merged_files:
    f.close()

# Rename temporary files to /tmp/merged_%d
for i, f in enumerate(merged_files):
    os.rename(f.name, '/tmp/merged_{}'.format(i))
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 28, in <module> os.rename(f.name, '/tmp/merged_{}'.format(i)) FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpovscy0_q' -> '/tmp/merged_0'

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