import time
'''import matplotlib.pyplot as plt'''

# Durations to measure in seconds
durations = [0.01, 0.1, 1.0]

# Number of repetitions
num_repetitions = 100

# Lists to store jitter for each duration
jitter_10ms = []
jitter_100ms = []
jitter_1s = []

# Function to measure jitter
def measure_jitter(duration):
    start_time = time.perf_counter_ns()
    time.sleep(duration)
    end_time = time.perf_counter_ns()
    return end_time - start_time

# Measure jitter for each duration and repeat for num_repetitions times
for duration in durations:
    for _ in range(num_repetitions):
        jitter = measure_jitter(duration)
        if duration == 0.01:
            jitter_10ms.append(jitter)
        elif duration == 0.1:
            jitter_100ms.append(jitter)
        elif duration == 1.0:
            jitter_1s.append(jitter)
'''
# Create histograms for each duration's jitter
plt.hist(jitter_10ms, bins=10, color='r', alpha=0.5, label='10ms')
plt.hist(jitter_100ms, bins=10, color='g', alpha=0.5, label='100ms')
plt.hist(jitter_1s, bins=10, color='b', alpha=0.5, label='1s')
plt.xlabel('Jitter (ns)')
plt.ylabel('Frequency')
plt.title('Jitter of time.sleep() for Different Durations')
plt.legend()
plt.show()
'''

import random
import secrets

# Create a dictionary with 1 million integer keys
dict = {}

for i in range(1000000):
    # Generate a random 64-byte value as bytes
    random_value = secrets.token_bytes(64)
    # Convert the bytes value to hexadecimal representation
    hex_value = random_value.hex()
    # Add the key-value pair to the dictionary
    dict[i] = hex_value

print("Dictionary created with 1 million integer keys.")