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debugtools

Source

Iterable

Tools for debugging iterable.

delayediter

delayediter(iterable, delay=None) delays the production of each item in iterable iterable by a delay of delay in seconds.

• In default, delay=None disables the delay.

for v in delayediter(range(5), delay=1):
    print(datetime.datetime.now().time(), v)
# 01:11:21.562655 0
# 01:11:22.563725 1
# 01:11:23.567723 2
# 01:11:24.567997 3
# 01:11:25.568119 4

timediter

timediter(iterable) produces each item in iterable iterable and its respective timestamp when encountered.

for t, v in timediter(delayediter(range(5), delay=1)):
    print(datetime.datetime.fromtimestamp(t).time(), v)
# 01:13:37.181460 0
# 01:13:38.182715 1
# 01:13:39.188049 2
# 01:13:40.193304 3
# 01:13:41.197916 4

System Diagnosis

Non-Functional but useful tools for system diagnosis.

stopwatch

stopwatch() returns both the duration since program start and the duration since last call of this function in seconds.

Warning

The stopwatch starts only after debugtools is imported.

for i in range(5):
    print(stopwatch())
    sleep(1)
# (1.4512503190198913, 1.4512503190198913)
# (2.45514269702835  , 1.0038923780084588)
# (3.4569691279903054, 1.0018264309619553)
# (4.45844506600406  , 1.0014759380137548)
# (5.463522073987406 , 1.0050770079833455)

peakmem

peakmem() returns the peak memory usage since program start.

Danger

In bytes on macOS, and in kilobytes on Linux.