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metrics.jsonl

@@ -144,3 +144,77 @@
 {"timestamp": 1787809288.2257757, "elapsed_hours": 0.16518439994917974, "event": "step", "step": 2540, "loss": 4.417987966537476, "lr": 2.868046425786037e-05}
 {"timestamp": 1787809299.127979, "elapsed_hours": 0.16821278982692295, "event": "sample", "step": 2550, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(s):\n    s = ''.join(set(to_letters + str(x) for x in s))\n\n    return True\n\ndef compare_palindrome_string():\n    string = ''.join(set(\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\").split()[:2])\n    for i in range(len(string)):\n        if string == s[i+1][i]:\n            return False\n\n    # Check if both strings are palindromes\n    for string in set(string[::-1]):\n        if is_palindrome(s, string) and not s.endswith('abc'):\n            return False\n\n    # Check if both strings are palindromes, ", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false}
 {"timestamp": 1787809301.0850973, "elapsed_hours": 0.16875643379158445, "event": "step", "step": 2560, "loss": 4.420219292640686, "lr": 2.8657696370477348e-05}
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+{"timestamp": 1787809338.111757, "elapsed_hours": 0.17904161704911126, "event": "sample", "step": 2700, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a data structure that stores the elements of an object and its associated data. A queue, on the other hand, is a type-based approach where it's used to store data that are contained in an object while keeping track of its internal elements.\n\nIn the context of a data structure, heap is typically used for streams of data to store certain properties on memory and operations such as insertion or cleanup. In this case, it's an array with a maximum size that is 7 bits long (3 bytes for the ", "has_open": false, "has_close": false, "has_end": false, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809370.6588128, "elapsed_hours": 0.18808246586057875, "event": "sample", "step": 2850, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "Here is a Python function that finds the maximum element in an array of numbers:\n\n```python\ndef find_max(array): \n  if len(array) == 0 or not isinstance(array, list):\n   return None\n\n  max_element = float('-inf')\n  for i in range(-len(array) - 1, 0, -1):\n   if array[i] == array[i-1]:\n    max_element = max(max_element, start=i+j)\n\n  return max_element\n```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809401.3445313, "elapsed_hours": 0.19660627649890053, "event": "sample", "step": 3000, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n    if n <= 1:\n        return n\n\n    else:\n        fibonacci(n-1)\n        return Fibonacci(fibonacci(n-2))<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809444.0036688, "elapsed_hours": 0.20845603691207037, "event": "sample", "step": 3150, "prompt": "What is the time complexity of binary search and why?", "sample": "Benchmarking in Python requires a lot of memory that is typically at least as large as the number of elements. However, when you are dealing with binary search and its size is limited to an integer value (e.g., 5), it is not possible for the number of elements to be processed by binary search without having a large size.\n\nThe time complexity is O(n), where n is the total number of elements in the binary tree and it has an average size (k). This can be achieved by iteratively calculating each ele", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809476.3890038, "elapsed_hours": 0.21745196335845524, "event": "sample", "step": 3300, "prompt": "Write a Python function to check if a string is a palindrome.", "sample": "def is_palindrome(str):\n  # Remove all non-alphanumeric characters and convert to lowercase for comparison.\n  str = ''.join('', str)\n\n  # Iterate through each string from the end of the string to find all palindromes.\n  for i in range(len(str)):\n\n   # Check if we need a palindrome using the like operator and string conversion.\n   str = (str[::-1] + str[2:])\n\n  # Return True if the characters are palindromes, False otherwise.\n  return is_palindrome(str)<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809508.9112527, "elapsed_hours": 0.22648592147562238, "event": "sample", "step": 3450, "prompt": "Explain the difference between a stack and a queue.", "sample": "A stack is a body of memory that can be used to store and retrieve data. If there are two examples, a stack would have the same size but different internal variables (comSubpVars).\n \nA queue is an array of data that contains (data) elements, which are stored in a stack. If there were two examples, one for the same size and another for each other, it would have the same data type, just like an array could store a state. \n\nA queue is also an array of items and can be stored either in the stack or ", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809539.2199254, "elapsed_hours": 0.23490499721633062, "event": "sample", "step": 3600, "prompt": "Write a Python function to find the maximum element in a list.", "sample": "```python\ndef max_element(numbers):\n    result = ''\n    for item in numbers:\n        if len(item) > 1 and not isinstance(item, list):\n            result += item\n\n    return result.num() + 1```<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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+{"timestamp": 1787809569.8789313, "elapsed_hours": 0.2434213877386517, "event": "sample", "step": 3750, "prompt": "Write a Python function that returns the nth Fibonacci number.", "sample": "def fibonacci(n):\n    if n == 0:\n        return 1\n\n    else:\n        fibonacci(n-1) = 1<|im_end|>", "has_open": false, "has_close": false, "has_end": true, "reasoning_len": 0, "is_real_reasoning": false}
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