Initial Query

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

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import re

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

    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]
The issue with the original code was in the regular expression used to find tokens. It didn't account for floating-point numbers. Here's the breakdown of the fix: - **Original regex:** `r'\d+|(\+|\-|\*|/|sin|cos|\(|\))'` - This only captured integers (`\d+`) and the specified operators/parentheses. - **Fixed regex:** `r'\d+\.\d+|\d+|(\+|\-|\*|/|sin|cos|\(|\))'` - We added `\d+\.\d+` to match floating-point numbers (numbers with a decimal point). The `|` acts as an "or", so it now matches either floating-point numbers, integers, or the other symbols. This revised `Tokenizer` can now handle both integer and floating-point numbers in mathematical expressions.

Extract Code

I extracted the following code from that output: 

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import re

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

    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]

Run Code Interpreter

Running the following program: 

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import re

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

    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]





answer = Tokenizer('sin(3+2*4)-cos(15)').tokens
expected = ['sin', '(', '3', '+', '2', '*', '4', ')', '-', 'cos', '(', '15', ')']
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 27, in <module> assert answer == expected, f'Wrong answer; got {answer} instead of {expected}' AssertionError: Wrong answer; got ['sin', '(', '', '+', '', '*', '', ')', '-', 'cos', '(', '', ')'] instead of ['sin', '(', '3', '+', '2', '*', '4', ')', '-', 'cos', '(', '15', ')']

Substring Evaluation

Testing if the previous output contains the string All tests passed: False

Initial Query

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

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import re

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

    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]
The main issue with the original code was the regular expression used to find the tokens. The parenthesis in the regex were capturing groups instead of matching literal parenthesis. This caused the tokenizer to split tokens like "(1+2)" into separate tokens: "(", "1", "+", "2", ")". The fix is to escape the parenthesis in the regex using a backslash: 
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r'\d+|\+|\-|\*|/|sin|cos|\(|\)'
This ensures that the parenthesis are treated as literal characters to be matched, and not as capturing groups.

Extract Code

I extracted the following code from that output: 

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import re

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

    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]

Run Code Interpreter

Running the following program: 

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import re

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

    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]





answer = Tokenizer('sin(3+2*4)-cos(15)').tokens
expected = ['sin', '(', '3', '+', '2', '*', '4', ')', '-', 'cos', '(', '15', ')']
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

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import re

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

    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]
The main issue with the original code was in the regular expression used for tokenization. Here's the breakdown of the fix: * **Incorrect grouping:** The original regex `r'\d+|(\+|\-|\*|/|sin|cos|\(|\))'` used a capturing group `()` only around operators and functions. This would lead to numbers being captured as tokens, while operators and functions would be captured as separate tokens within a list. * **Simplified regex:** The fixed regex `r'\d+|\+|\-|\*|/|sin|cos|\(|\)'` removes the unnecessary capturing group and simply lists all the patterns we want to match as separate alternatives separated by `|`. This ensures that each match, whether a number, operator, or function, is captured as a separate token. This corrected regex ensures that all tokens, including numbers, operators, and functions, are individually captured and stored in the `self.tokens` list. The rest of the tokenizer logic remains unchanged as it correctly handles token retrieval and peeking based on the position within the token list.

Extract Code

I extracted the following code from that output: 

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import re

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

    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]

Run Code Interpreter

Running the following program: 

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import re

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

    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]





answer = Tokenizer('sin(3+2*4)-cos(15)').tokens
expected = ['sin', '(', '3', '+', '2', '*', '4', ')', '-', 'cos', '(', '15', ')']
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

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import re

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

    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]
The issue with the original code was in the regex used to find the tokens. It was unnecessarily capturing the operators and parentheses into separate groups. The fixed regex `r'\d+|\+|\-|\*|/|sin|cos|\(|\)'` directly matches either numbers or the individual operators/parentheses without unnecessary capturing groups. This change simplifies the tokenization process and makes the code more efficient.

Extract Code

I extracted the following code from that output: 

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import re

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

    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]

Run Code Interpreter

Running the following program: 

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import re

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

    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]





answer = Tokenizer('sin(3+2*4)-cos(15)').tokens
expected = ['sin', '(', '3', '+', '2', '*', '4', ')', '-', 'cos', '(', '15', ')']
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

Fix this tokenizer keeping it as similar as possible class Tokenizer: def __init__(self, input_str): self.tokens = re.findall(r'\d+|(\+|\-|\*|/|sin|cos|\(|\))', input_str) self.position = 0 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

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import re

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

    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]
The issue with the provided code was in the regular expression used to find tokens. The expression `r'\d+|(\+|\-|\*|/|sin|cos|\(|\))'` would capture numbers correctly, but for operators and parentheses it would create separate capturing groups, resulting in a list containing both the full match and the captured group (e.g., `['+', '+']`). The fix is to remove the unnecessary capturing group within the regular expression. The corrected expression `r'\d+|\+|\-|\*|/|sin|cos|\(|\)'` will now correctly capture all tokens without creating extra groups.

Extract Code

I extracted the following code from that output: 

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import re

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

    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]

Run Code Interpreter

Running the following program: 

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import re

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

    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]





answer = Tokenizer('sin(3+2*4)-cos(15)').tokens
expected = ['sin', '(', '3', '+', '2', '*', '4', ')', '-', 'cos', '(', '15', ')']
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True