from detkit import Profile, memdet, human_readable_time, \
   human_readable_mem

# Create a random matrix
import numpy
A = numpy.random.randn(10000, 10000)

# Initialize profile
prof = Profile()

# Set the starting point of memory inquiry
prof.set()

# Perform a memory-intensive operation
ld = memdet(A)

# Inquiry wall time
print(human_readable_time(prof.wall_time()))

# Inquiry process time
print(human_readable_time(prof.proc_time()))

# Check CPU utilization (in percent)
print(prof.cpu_utilization())

# Inquiry the current memory allocation
print(human_readable_mem(prof.mem_now()))

# Inquiry the peak memory allocation
print(human_readable_mem(prof.mem_peak()))

# Inquiry read from disk during the above operation
print(prof.disk_read())

# Inquiry write to disk during the above operation, in MB unit
print(prof.disk_write())

# Inquiry write to disk during the above operation, in MB unit
prof.print_profile(shape=A.shape, dtype=A.dtype)