/tmp/tachyon_selfcontained.py - Heatmap

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"""

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Tachyon Demo - Self-contained profiling example.

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Pure Python with no external imports for clean heatmap output.

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"""

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def fibonacci(n):

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"""Recursive fibonacci - creates deep call stacks."""

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if n <= 1:

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return n

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return fibonacci(n - 1) + fibonacci(n - 2)

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def bubble_sort(arr):

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"""Classic bubble sort - O(n^2) comparison sorting."""

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n = len(arr)

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for i in range(n):

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for j in range(0, n - i - 1):

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if arr[j] > arr[j + 1]:

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arr[j], arr[j + 1] = arr[j + 1], arr[j]

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return arr

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def matrix_multiply(a, b):

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"""Matrix multiplication using nested loops."""

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rows_a, cols_a = len(a), len(a[0])

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rows_b, cols_b = len(b), len(b[0])

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result = [[0] * cols_b for _ in range(rows_a)]

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for i in range(rows_a):

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for j in range(cols_b):

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for k in range(cols_a):

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result[i][j] += a[i][k] * b[k][j]

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return result

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def prime_sieve(limit):

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"""Sieve of Eratosthenes - find all primes up to limit."""

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is_prime = [True] * (limit + 1)

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is_prime[0] = is_prime[1] = False

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for num in range(2, int(limit ** 0.5) + 1):

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if is_prime[num]:

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for multiple in range(num * num, limit + 1, num):

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is_prime[multiple] = False

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return [num for num, prime in enumerate(is_prime) if prime]

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def string_processing(iterations):

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"""String operations - concatenation and formatting."""

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for _ in range(iterations):

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result = ""

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for i in range(50):

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result += f"item_{i}_"

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parts = result.split("_")

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joined = "-".join(parts)

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def list_operations(iterations):

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"""List comprehensions and operations."""

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for _ in range(iterations):

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squares = [x ** 2 for x in range(500)]

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evens = [x for x in squares if x % 2 == 0]

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total = sum(evens)

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def dict_operations(iterations):

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"""Dictionary creation and lookups."""

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for _ in range(iterations):

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data = {f"key_{i}": i ** 2 for i in range(200)}

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values = [data[f"key_{i}"] for i in range(200)]

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total = sum(values)

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def compute_heavy():

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"""CPU-intensive computation section."""

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fibonacci(30)

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size = 60

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a = [[i + j for j in range(size)] for i in range(size)]

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b = [[i * j for j in range(size)] for i in range(size)]

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matrix_multiply(a, b)

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prime_sieve(10000)

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def data_processing():

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"""Data structure operations."""

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string_processing(2000)

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list_operations(1500)

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dict_operations(1000)

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data = list(range(800))

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for _ in range(3):

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data = data[::-1]

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bubble_sort(data[:200])

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def main():

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"""Main entry point."""

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compute_heavy()

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data_processing()

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if __name__ == "__main__":

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main()