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+
2
+
+
+
+
Tachyon Demo - Self-contained profiling example.
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3
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+
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Pure Python with no external imports for clean heatmap output.
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+
+
+
+
7
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1
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1
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+
def fibonacci(n):
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+
+
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8
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+
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"""Recursive fibonacci - creates deep call stacks."""
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+
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9
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3
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3
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if n <= 1:
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+
+
+
+
10
+
17
+
17
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+
return n
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+
+
+
+
11
+
206
+
227
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+
return fibonacci(n - 1) + fibonacci(n - 2)
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+
+
+
+
+
14
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+
+
+
def bubble_sort(arr):
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+
+
15
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+
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"""Classic bubble sort - O(n^2) comparison sorting."""
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16
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+
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n = len(arr)
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+
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17
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+
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for i in range(n):
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+
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18
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2
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2
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for j in range(0, n - i - 1):
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+
+
+
19
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8
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8
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if arr[j] > arr[j + 1]:
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+
+
+
+
20
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2
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2
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+
arr[j], arr[j + 1] = arr[j + 1], arr[j]
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+
+
+
21
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return arr
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+
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24
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+
def matrix_multiply(a, b):
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25
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"""Matrix multiplication using nested loops."""
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+
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26
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rows_a, cols_a = len(a), len(a[0])
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+
+
+
27
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+
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+
rows_b, cols_b = len(b), len(b[0])
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+
+
28
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result = [[0] * cols_b for _ in range(rows_a)]
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+
+
30
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+
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for i in range(rows_a):
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+
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31
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+
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+
for j in range(cols_b):
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+
+
32
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8
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8
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+
for k in range(cols_a):
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+
+
+
33
+
62
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62
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+
result[i][j] += a[i][k] * b[k][j]
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+
+
+
+
34
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+
+
+
return result
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+
+
+
+
+
37
+
+
+
+
def prime_sieve(limit):
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+
+
38
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+
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"""Sieve of Eratosthenes - find all primes up to limit."""
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+
+
39
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is_prime = [True] * (limit + 1)
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+
+
40
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is_prime[0] = is_prime[1] = False
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+
42
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+
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for num in range(2, int(limit ** 0.5) + 1):
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+
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43
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+
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if is_prime[num]:
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+
+
44
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1
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1
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+
for multiple in range(num * num, limit + 1, num):
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+
+
+
45
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+
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is_prime[multiple] = False
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+
+
+
47
+
2
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2
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+
return [num for num, prime in enumerate(is_prime) if prime]
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+
+
+
+
+
+
50
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+
+
+
def string_processing(iterations):
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+
+
+
51
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+
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"""String operations - concatenation and formatting."""
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+
+
+
52
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+
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for _ in range(iterations):
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+
+
+
53
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+
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+
result = ""
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+
+
+
54
+
+
+
+
for i in range(50):
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+
+
55
+
91
+
91
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+
result += f"item_{i}_"
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+
+
+
+
56
+
22
+
22
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+
parts = result.split("_")
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+
+
+
+
57
+
10
+
10
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+
joined = "-".join(parts)
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+
+
+
+
+
+
60
+
+
+
+
def list_operations(iterations):
+
+
+
+
61
+
+
+
+
"""List comprehensions and operations."""
+
+
+
+
62
+
+
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+
for _ in range(iterations):
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+
+
63
+
118
+
118
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+
squares = [x ** 2 for x in range(500)]
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+
+
+
+
64
+
119
+
119
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+
evens = [x for x in squares if x % 2 == 0]
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+
+
+
+
65
+
12
+
12
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+
total = sum(evens)
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+
+
+
+
+
+
68
+
+
+
+
def dict_operations(iterations):
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+
+
+
69
+
+
+
+
"""Dictionary creation and lookups."""
+
+
+
+
70
+
+
+
+
for _ in range(iterations):
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+
+
+
71
+
206
+
206
+
+
data = {f"key_{i}": i ** 2 for i in range(200)}
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+
+
+
+
72
+
158
+
158
+
+
values = [data[f"key_{i}"] for i in range(200)]
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+
+
+
+
73
+
5
+
5
+
+
total = sum(values)
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+
+
+
+
+
+
76
+
+
+
+
def compute_heavy():
+
+
+
+
77
+
+
+
+
"""CPU-intensive computation section."""
+
+
+
+
78
+
1
+
301
+
+
fibonacci(30)
+
+
+
+
+
+
80
+
+
+
+
size = 60
+
+
+
+
81
+
+
+
+
a = [[i + j for j in range(size)] for i in range(size)]
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+
+
+
82
+
+
+
+
b = [[i * j for j in range(size)] for i in range(size)]
+
+
+
+
83
+
+
+
+
matrix_multiply(a, b)
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+
+
+
+
85
+
+
+
+
prime_sieve(10000)
+
+
+
+
+
+
88
+
+
+
+
def data_processing():
+
+
+
+
89
+
+
+
+
"""Data structure operations."""
+
+
+
+
90
+
+
753
+
+
string_processing(2000)
+
+
+
+
+
91
+
+
+
+
list_operations(1500)
+
+
+
+
92
+
+
+
+
dict_operations(1000)
+
+
+
+
+
94
+
+
+
+
data = list(range(800))
+
+
+
+
95
+
+
+
+
for _ in range(3):
+
+
+
+
96
+
+
+
+
data = data[::-1]
+
+
+
+
97
+
+
+
+
bubble_sort(data[:200])
+
+
+
+
+
+
100
+
+
+
+
def main():
+
+
+
+
101
+
+
+
+
"""Main entry point."""
+
+
+
+
102
+
+
1,054
+
+
compute_heavy()
+
+
+
+
+
103
+
+
+
+
data_processing()
+
+
+
+
+
+
106
+
+
+
+
if __name__ == "__main__":
+
+
+
+
107
+
+
1,054
+
+
main()
+
+
+
+
+