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from memory_profiler import memory_usage
import os
def some_func(*args, **kwargs):
return args, kwargs
def test_memory_usage():
# Check that memory_usage works with functions with star args.
mem, ret = memory_usage((some_func, (1, 2), dict(a=1)), retval=True)
assert ret[0] == (1, 2)
assert ret[1] == dict(a=1)
def write_line(filepath):
with open(filepath, 'a') as the_file:
the_file.write('Testing\n')
def test_max_iterations():
# Check that memory_usage works with max_iterations set (for python functions).
this_dir = os.path.dirname(os.path.realpath(__file__))
file = os.path.join(this_dir, 'temp_test_max_iterations_file.txt')
mem = memory_usage((write_line, (file, ), dict()), max_usage=True, max_iterations=1)
n_lines = sum(1 for line in open(file))
os.remove(file)
assert n_lines == 1
def test_return_value_consistency():
# Test return values when watching process by PID
pid_mem_list = memory_usage(timeout=1)
assert type(pid_mem_list) == list, "Memory usage of process should be a list"
pid_mem_max = memory_usage(timeout=1, max_usage=True)
assert type(pid_mem_max) == float, "Max memory usage of process should be a number"
# Test return values when watching callable
func_mem_list = memory_usage((some_func, (42,), dict(a=42)))
assert type(func_mem_list) == list, "Memory usage of callable should be a list"
func_mem_max = memory_usage((some_func, (42,), dict(a=42)), max_usage=True)
assert type(func_mem_max) == float, "Max memory usage of callable should be a number"
if __name__ == "__main__":
test_memory_usage()
test_max_iterations()
test_return_value_consistency()
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