Docker Setup

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

Initial Query

Write a .patch file to stdout that will fix the bug in this tokenizer. Still keep the new file name the same after patching. I'll evaluate you based on my ability to do - echo [your patch] > fix.patch - patch < fix.patch - python3 run_tokenizer.py Here is the entirety of run_tokenizer.py:

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

LLM Generation

Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

Output

Here's a patch file that fixes the tokenizer to properly handle both numeric tokens and operators. The main issue is that re.findall() with capturing groups only returns the captured groups, dropping the numeric matches.

--- run_tokenizer.py
+++ run_tokenizer.py
@@ -6,7 +6,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'\d+|\+|\-|\*|/|sin|cos|\(|\)', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

This patch: 1. Removes the capturing group parentheses from the regex pattern 2. Still matches the same tokens but now includes both numbers and operators in the results 3. Maintains all other functionality of the tokenizer The fix ensures that numeric tokens are included in the tokenization results alongside operators and functions. The previous version was accidentally filtering out numeric tokens due to the capturing group behavior of re.findall().

Extract Code

I extracted the following code from that output:

--- run_tokenizer.py
+++ run_tokenizer.py
@@ -6,7 +6,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'\d+|\+|\-|\*|/|sin|cos|\(|\)', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

PyFunc

--- run_tokenizer.py +++ run_tokenizer.py @@ -6,7 +6,7 @@ input_str: a string of digits and operators ''' self.position = 0 - self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) + self.tokens = re.findall(r'\d+|\+|\-|\*|/|sin|cos|\(|\)', input_str) def get_next_token(self): if self.position >= len(self.tokens): Resulting in output:

PyFunc

patching file run_tokenizer.py final: True Resulting in output: True

Docker Setup

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

Initial Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

LLM Generation

Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

Output

Here's a .patch file that fixes the tokenizer by modifying the regex pattern to properly capture numbers and avoid None values in the token list:

--- run_tokenizer.py	2024-01-24 12:00:00.000000000 -0000
+++ run_tokenizer.py	2024-01-24 12:00:00.000000000 -0000
@@ -7,7 +7,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'(?:\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

This patch: 1. Removes the capturing group parentheses that were causing None values to be included in the token list 2. Adds a non-capturing group `(?:...)` to maintain the alternation 3. Keeps all the original token patterns but ensures they're all captured as actual values The original code had an issue where the capturing group for operators caused re.findall to return None for numbers. The new pattern will properly tokenize both numbers and operators into a clean list without None values.

Extract Code

I extracted the following code from that output:

--- run_tokenizer.py	2024-01-24 12:00:00.000000000 -0000
+++ run_tokenizer.py	2024-01-24 12:00:00.000000000 -0000
@@ -7,7 +7,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'(?:\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

PyFunc

--- run_tokenizer.py 2024-01-24 12:00:00.000000000 -0000 +++ run_tokenizer.py 2024-01-24 12:00:00.000000000 -0000 @@ -7,7 +7,7 @@ input_str: a string of digits and operators ''' self.position = 0 - self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) + self.tokens = re.findall(r'(?:\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str) def get_next_token(self): if self.position >= len(self.tokens): Resulting in output:

PyFunc

patching file run_tokenizer.py Hunk #1 succeeded at 6 (offset -1 lines). final: True Resulting in output: True

Docker Setup

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

Initial Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

LLM Generation

Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

Output

Here's a .patch file that fixes the tokenizer by modifying the regex pattern to properly capture numbers and prevent None values from appearing in the token list:

--- run_tokenizer.py	2024-02-13 12:00:00.000000000 -0000
+++ run_tokenizer.py	2024-02-13 12:00:00.000000000 -0000
@@ -7,7 +7,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'\d+|\+|\-|\*|/|sin|cos|\(|\)', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

The key fix here is removing the capturing parentheses from the regex pattern. The original pattern used `(\+|\-|\*|/|sin|cos|\(|\))` which created a capture group, causing re.findall to only return the captured group for operators and return None for non-captured matches (the numbers). The new pattern `\+|\-|\*|/|sin|cos|\(|\)` treats all alternatives equally, so both numbers and operators will be properly tokenized. This patch should fix the issue while maintaining the same filename. After applying the patch, the tokenizer will properly handle both numbers and operators without generating None values in the token list.

Extract Code

I extracted the following code from that output:

--- run_tokenizer.py	2024-02-13 12:00:00.000000000 -0000
+++ run_tokenizer.py	2024-02-13 12:00:00.000000000 -0000
@@ -7,7 +7,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'\d+|\+|\-|\*|/|sin|cos|\(|\)', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

PyFunc

--- run_tokenizer.py 2024-02-13 12:00:00.000000000 -0000 +++ run_tokenizer.py 2024-02-13 12:00:00.000000000 -0000 @@ -7,7 +7,7 @@ input_str: a string of digits and operators ''' self.position = 0 - self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) + self.tokens = re.findall(r'\d+|\+|\-|\*|/|sin|cos|\(|\)', input_str) def get_next_token(self): if self.position >= len(self.tokens): Resulting in output:

PyFunc

patching file run_tokenizer.py Hunk #1 succeeded at 6 (offset -1 lines). final: True Resulting in output: True

Docker Setup

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

Initial Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

LLM Generation

Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

Output

Looking at the code, the main issue is that `re.findall()` with capturing groups only returns the captured groups, discarding non-captured matches (the numbers). Here's the patch to fix that:

--- run_tokenizer.py
+++ run_tokenizer.py
@@ -7,7 +7,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'(\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

The fix simply puts the entire pattern inside a single capturing group, so all matches (both numbers and operators) are retained. This way, both numbers and operators will be captured and returned in the tokens list. The only change is moving the parentheses to encompass the entire pattern instead of just the operators part. Now when you tokenize something like "123+456", you'll get ['123', '+', '456'] instead of losing the numbers. You should be able to apply this patch using the commands you specified:

echo [patch content] > fix.patch
patch < fix.patch
python3 run_tokenizer.py

Extract Code

I extracted the following code from that output:

--- run_tokenizer.py
+++ run_tokenizer.py
@@ -7,7 +7,7 @@
         input_str: a string of digits and operators
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'(\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

PyFunc

--- run_tokenizer.py +++ run_tokenizer.py @@ -7,7 +7,7 @@ input_str: a string of digits and operators ''' self.position = 0 - self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) + self.tokens = re.findall(r'(\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str) def get_next_token(self): if self.position >= len(self.tokens): Resulting in output:

PyFunc

patching file run_tokenizer.py Hunk #1 succeeded at 6 (offset -1 lines). final: True Resulting in output: True

Docker Setup

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

Initial Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

LLM Generation

Query

import re

class Tokenizer:
    def __init__(self, input_str):
        '''
        input_str: a string of digits and operators
        '''
        self.position = 0
        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)

    def get_next_token(self):
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]

Output

The issue with the tokenizer is that re.findall() with capturing groups only returns the captured groups, dropping non-captured matches (the numbers in this case). Here's the patch file that fixes it:

--- run_tokenizer.py
+++ run_tokenizer.py
@@ -7,7 +7,7 @@
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'(\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

This patch: 1. Simply moves the capturing parentheses to encompass the entire pattern 2. Keeps everything else the same 3. Will properly capture both numbers and operators in the token list The fixed version will now properly tokenize strings like "123+456" into ["123", "+", "456"] instead of dropping the numbers.

Extract Code

I extracted the following code from that output:

--- run_tokenizer.py
+++ run_tokenizer.py
@@ -7,7 +7,7 @@
         '''
         self.position = 0
-        self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        self.tokens = re.findall(r'(\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str)
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

PyFunc

--- run_tokenizer.py +++ run_tokenizer.py @@ -7,7 +7,7 @@ ''' self.position = 0 - self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) + self.tokens = re.findall(r'(\d+|\+|\-|\*|/|sin|cos|\(|\))', input_str) def get_next_token(self): if self.position >= len(self.tokens): Resulting in output:

PyFunc

patching file run_tokenizer.py Hunk #1 succeeded at 7 with fuzz 1. final: True Resulting in output: True