Answers for "python timeit"

9

how to use timeit in python 3

import timeit
import_module = "import random"
testcode = ''' 
def test(): 
    return random.randint(10, 100)
'''
print(timeit.repeat(stmt=testcode, setup=import_module))
Posted by: Guest on May-16-2020
1

%timeit

# all of these are types in command line
  # sample timeit
      %timeit rand_nums = np.random.rand(1000)

  # specifying number of runs/loops 
      # Set number of runs to 2 (-r2)
      # Set number of loops to 10 (-n10)
      %timeit -r2 -n10 rand_nums = np.random.rand(1000)

  # saving output 
      # adding -o 
      times = %timeit -o rand+nums = np.random.rand(1000)

      # now get the best times among those test 
      times.timings # produce all timings 
      times.best 
      times.worst 

  # comparing which one is faster in creating dict 
  l_time = %timeit -o dict = {} # you could see that this is way faster 
  f_time = %timeot -o dict1 = dict()
Posted by: Guest on October-09-2021
0

python timeit function return value

import time

# Function with both args and kwargs ====
def time_fn( fn, *args, **kwargs ):
    start = time.perf_counter()
    results = fn( *args, **kwargs )
    end = time.perf_counter()
    print(fn.__name__ + ": " + str(end-start) + "s")
    return results

res = time_fn(function_name, input, output)

# Function with only arguments ====
def time_fn(fn, *args):
    start = time.perf_counter()
    results = fn(*args)
    end = time.perf_counter()
    print(fn.__name__ + ": " + str(end - start) + "s")
    return results

res = time_fn(function_name, input)
Posted by: Guest on August-27-2020
-1

timeit command line

# Timeit can't be used for whole file using command line...
# You can only test python snippets using command line
Posted by: Guest on November-26-2020
-1

%timeit

# sample timeit
%timeit rand_nums = np.random.rand(1000)

specifying number of runs/loops 
    # Set number of runs to 2 (-r2)
    # Set number of loops to 10 (-n10)
    %timeit -r2 -n10 rand_nums = np.random.rand(1000)

saving output 
    # adding -o 
    times = %timeit -o rand+nums = np.random.rand(1000)

    # now get the best times among those test 
    times.timings # produce all timings 
    times.best 
    times.worst 

comparing which one is faster in creating dict 
l_time = %timeit -o dict = {} # you could see that this is way faster 
f_time = %timeot -o dict1 = dict()
Posted by: Guest on October-09-2021

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