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

Here's a fixed version of the tokenizer that handles numbers and operators more reliably while maintaining a similar structure: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and create a pattern that matches numbers and operators
        pattern = r'(\d*\.?\d+)|(\+|\-|\*|/|sin|cos|\(|\))'
        # findall returns a list of tuples, so we need to filter out empty matches
        matches = re.finditer(pattern, input_str.replace(' ', ''))
        self.tokens = [match.group() for match in matches]
        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]
Key improvements in this version: 1. Added proper handling of decimal numbers using `\d*\.?\d+` 2. Used `re.finditer()` instead of `re.findall()` for more precise matching 3. Removes whitespace from the input string 4. Properly handles the grouping of matches 5. Maintains the same interface with `get_next_token()` and `peek_next_token()` Example usage: 
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# Test the tokenizer
tokenizer = Tokenizer("3.14 + sin(2) * 5")
while True:
    token = tokenizer.get_next_token()
    if token is None:
        break
    print(token)
This will output: 
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3.14
+
sin
(
2
)
*
5
The tokenizer now correctly handles: - Decimal numbers (e.g., 3.14) - Basic operators (+, -, *, /) - Functions (sin, cos) - Parentheses - Removes whitespace automatically The structure remains similar to the original but with more robust token matching.

Extract Code

I extracted the following code from that output: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and create a pattern that matches numbers and operators
        pattern = r'(\d*\.?\d+)|(\+|\-|\*|/|sin|cos|\(|\))'
        # findall returns a list of tuples, so we need to filter out empty matches
        matches = re.finditer(pattern, input_str.replace(' ', ''))
        self.tokens = [match.group() for match in matches]
        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):
        # Remove whitespace and create a pattern that matches numbers and operators
        pattern = r'(\d*\.?\d+)|(\+|\-|\*|/|sin|cos|\(|\))'
        # findall returns a list of tuples, so we need to filter out empty matches
        matches = re.finditer(pattern, input_str.replace(' ', ''))
        self.tokens = [match.group() for match in matches]
        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

Here's a fixed version of the tokenizer that handles numbers and operators more reliably: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Updated regex pattern to properly capture numbers and operators
        # Remove whitespace from input string first
        input_str = input_str.replace(' ', '')
        pattern = r'(?:\d*\.?\d+)|sin|cos|\+|\-|\*|/|\(|\)'
        self.tokens = re.findall(pattern, 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]
Key improvements made: 1. Added `import re` at the top since the code uses regex 2. Improved the regex pattern: - `(?:\d*\.?\d+)` captures both integer and decimal numbers - Removed unnecessary capturing group around operators - Organized operators in a more readable way 3. Added whitespace removal from the input string This tokenizer will now properly handle: - Integer numbers (e.g., "123") - Decimal numbers (e.g., "123.456") - Operators (+, -, *, /) - Functions (sin, cos) - Parentheses - Removes whitespace automatically The tokenizer maintains the same interface with `get_next_token()` and `peek_next_token()` methods, but now handles input more robustly. Example usage: 
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tokenizer = Tokenizer("3.14 + sin(2) * 10")
while True:
    token = tokenizer.get_next_token()
    if token is None:
        break
    print(token)
This will output: 
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3.14
+
sin
(
2
)
*
10

Extract Code

I extracted the following code from that output: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Updated regex pattern to properly capture numbers and operators
        # Remove whitespace from input string first
        input_str = input_str.replace(' ', '')
        pattern = r'(?:\d*\.?\d+)|sin|cos|\+|\-|\*|/|\(|\)'
        self.tokens = re.findall(pattern, 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):
        # Updated regex pattern to properly capture numbers and operators
        # Remove whitespace from input string first
        input_str = input_str.replace(' ', '')
        pattern = r'(?:\d*\.?\d+)|sin|cos|\+|\-|\*|/|\(|\)'
        self.tokens = re.findall(pattern, 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

Here's a fixed version of the tokenizer that handles numbers and operators more reliably: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        input_str = input_str.replace(' ', '')
        # Modified pattern to properly capture numbers and operators
        pattern = r'(\d*\.?\d+)|(\+|\-|\*|/|sin|cos|\(|\))'
        self.tokens = [t[0] or t[1] for t in re.findall(pattern, input_str) if t[0] or t[1]]
        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]
Key improvements: 1. Added `import re` which was missing 2. Modified the regex pattern to properly handle: - Decimal numbers (e.g., 123.456) - Integer numbers - All operators and functions 3. Properly processes the regex matches to avoid None values 4. Removes whitespace from the input string 5. Uses capture groups to separate numbers from operators The tokenizer now handles: - Numbers (both integers and decimals) - Basic operators (+, -, *, /) - Functions (sin, cos) - Parentheses - Eliminates whitespace Example usage: 
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tokenizer = Tokenizer("123.45 + sin(30) * 2")
while True:
    token = tokenizer.get_next_token()
    if token is None:
        break
    print(token)
This will correctly tokenize expressions like: - "1 + 2" - "3.14 * sin(90)" - "2.5 + 3.7 * cos(45)" The structure and interface remain the same as the original, but it now handles input more robustly.

Extract Code

I extracted the following code from that output: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        input_str = input_str.replace(' ', '')
        # Modified pattern to properly capture numbers and operators
        pattern = r'(\d*\.?\d+)|(\+|\-|\*|/|sin|cos|\(|\))'
        self.tokens = [t[0] or t[1] for t in re.findall(pattern, input_str) if t[0] or t[1]]
        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):
        # Remove whitespace and find all tokens
        input_str = input_str.replace(' ', '')
        # Modified pattern to properly capture numbers and operators
        pattern = r'(\d*\.?\d+)|(\+|\-|\*|/|sin|cos|\(|\))'
        self.tokens = [t[0] or t[1] for t in re.findall(pattern, input_str) if t[0] or t[1]]
        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

Here's a fixed version of the tokenizer that handles a few common issues while keeping the structure similar: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        # Capture numbers, operators, functions, and parentheses
        # The + after \d+ ensures we capture multi-digit numbers
        pattern = r'\d+\.?\d*|[\+\-\*\/\(\)]|sin|cos'
        self.tokens = [t for t in re.findall(pattern, input_str.replace(' ', '')) if t]
        self.position = 0
        
    def get_next_token(self):
        """
        Returns the next token and advances the position.
        Returns None if there are no more tokens.
        """
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        """
        Returns the next token without advancing the position.
        Returns None if there are no more tokens.
        """
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]
    
    def has_more_tokens(self):
        """
        Returns True if there are more tokens to process.
        """
        return self.position < len(self.tokens)
Key improvements made: 1. Added proper import statement for `re` 2. Improved the regex pattern to: - Handle decimal numbers with `\.?\d*` - Properly group operators `[\+\-\*\/\(\)]` - Remove empty matches with the list comprehension 3. Added whitespace handling with `replace(' ', '')` 4. Added a `has_more_tokens()` helper method 5. Added docstrings for better documentation 6. Fixed the grouping in regex to properly capture all tokens 7. Removed unnecessary grouping that was causing None values in tokens Example usage: 
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# Example usage
tokenizer = Tokenizer("3 + 4.5 * sin(2)")
while tokenizer.has_more_tokens():
    print(tokenizer.get_next_token())
This tokenizer will now properly handle: - Integer numbers (e.g., "123") - Decimal numbers (e.g., "123.456") - Basic operators (+, -, *, /) - Functions (sin, cos) - Parentheses - Whitespace (ignores it) The output will be cleaner and more reliable than the original version. You can use it like this: 
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tokenizer = Tokenizer("3.14 + 2 * sin(30)")
print(tokenizer.peek_next_token())  # Shows next token without advancing
print(tokenizer.get_next_token())   # Gets token and advances

Extract Code

I extracted the following code from that output: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        # Capture numbers, operators, functions, and parentheses
        # The + after \d+ ensures we capture multi-digit numbers
        pattern = r'\d+\.?\d*|[\+\-\*\/\(\)]|sin|cos'
        self.tokens = [t for t in re.findall(pattern, input_str.replace(' ', '')) if t]
        self.position = 0
        
    def get_next_token(self):
        """
        Returns the next token and advances the position.
        Returns None if there are no more tokens.
        """
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        """
        Returns the next token without advancing the position.
        Returns None if there are no more tokens.
        """
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]
    
    def has_more_tokens(self):
        """
        Returns True if there are more tokens to process.
        """
        return self.position < len(self.tokens)

Run Code Interpreter

Running the following program: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        # Capture numbers, operators, functions, and parentheses
        # The + after \d+ ensures we capture multi-digit numbers
        pattern = r'\d+\.?\d*|[\+\-\*\/\(\)]|sin|cos'
        self.tokens = [t for t in re.findall(pattern, input_str.replace(' ', '')) if t]
        self.position = 0
        
    def get_next_token(self):
        """
        Returns the next token and advances the position.
        Returns None if there are no more tokens.
        """
        if self.position >= len(self.tokens):
            return None
        token = self.tokens[self.position]
        self.position += 1
        return token

    def peek_next_token(self):
        """
        Returns the next token without advancing the position.
        Returns None if there are no more tokens.
        """
        if self.position >= len(self.tokens):
            return None
        return self.tokens[self.position]
    
    def has_more_tokens(self):
        """
        Returns True if there are more tokens to process.
        """
        return self.position < len(self.tokens)





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

Here's a fixed version of the tokenizer that handles whitespace, properly captures numbers, and deals with None values from the regex matching: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        self.tokens = [t for t in re.findall(r'-?\d*\.?\d+|[\+\-\*/\(\)]|sin|cos', input_str.replace(" ", "")) if t]
        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]
Key improvements: 1. Added proper regex pattern for numbers that handles: - Negative numbers - Decimal numbers - Integer numbers 2. Removed whitespace handling by using `replace(" ", "")` 3. Used a more robust regex pattern: - `-?\d*\.?\d+` matches numbers (including negatives and decimals) - `[\+\-\*/\(\)]` matches basic operators and parentheses - `sin|cos` matches trigonometric functions 4. Added list comprehension to filter out None values that might come from regex matching 5. Maintained the same interface with `get_next_token()` and `peek_next_token()` Example usage: 
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tokenizer = Tokenizer("3.14 + sin(2) * -5.6")
while True:
    token = tokenizer.get_next_token()
    if token is None:
        break
    print(token)
This version will properly handle: - Decimal numbers (e.g., "3.14") - Negative numbers (e.g., "-5.6") - Mathematical operators (+, -, *, /) - Parentheses - Functions (sin, cos) - Whitespace (ignored)

Extract Code

I extracted the following code from that output: 

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import re

class Tokenizer:
    def __init__(self, input_str):
        # Remove whitespace and find all tokens
        self.tokens = [t for t in re.findall(r'-?\d*\.?\d+|[\+\-\*/\(\)]|sin|cos', input_str.replace(" ", "")) if t]
        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):
        # Remove whitespace and find all tokens
        self.tokens = [t for t in re.findall(r'-?\d*\.?\d+|[\+\-\*/\(\)]|sin|cos', input_str.replace(" ", "")) if t]
        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