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:

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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

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:

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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

To fix the bug in the tokenizer where it ignores invalid characters in the input, we need to ensure that the tokenizer raises an error if any invalid characters are present. This can be done by checking if the concatenated tokens match the original input string. If they don't, it indicates the presence of invalid characters. Here is the .patch file:

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diff --git a/run_tokenizer.py b/run_tokenizer.py
--- a/run_tokenizer.py
+++ b/run_tokenizer.py
@@ -6,6 +6,8 @@
         '''
         self.position = 0
         self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        if ''.join(self.tokens) != input_str:
+            raise ValueError("Invalid characters in input")
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

Extract Code

I extracted the following code from that output:

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diff --git a/run_tokenizer.py b/run_tokenizer.py
--- a/run_tokenizer.py
+++ b/run_tokenizer.py
@@ -6,6 +6,8 @@
         '''
         self.position = 0
         self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str)
+        if ''.join(self.tokens) != input_str:
+            raise ValueError("Invalid characters in input")
 
     def get_next_token(self):
         if self.position >= len(self.tokens):

PyFunc

diff --git a/run_tokenizer.py b/run_tokenizer.py --- a/run_tokenizer.py +++ b/run_tokenizer.py @@ -6,6 +6,8 @@ ''' self.position = 0 self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) + if ''.join(self.tokens) != input_str: + raise ValueError("Invalid characters in input") 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 (offset 1 line). Traceback (most recent call last): File "/usr/src/app/check.py", line 10, in <module> print('final: ' + str(check())) ^^^^^^^ File "/usr/src/app/check.py", line 7, in check return run_tokenizer.Tokenizer("cos(1)+sin(23)*5").tokens == ['cos', '(', '1', ')', '+', 'sin', '(', '23', ')', '*', '5'] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/app/run_tokenizer.py", line 11, in __init__ raise ValueError("Invalid characters in input") ValueError: Invalid characters in input Resulting in output: False