timeit

I am confronted to a weird situation that I can't explain. Here is my test timing the generation of a large list of tuples: In [1]: def get_list_of_tuples(): ...: return [(i,) for i in range(10**6)] ...: In [2]: %time res = get_list_of_tuples() CPU times: user 0.93 s, sys: 0.08 s, total: 1.01 s Wall time: 0.98 s In [3]: %timeit res = get_list_of_tuples() 1 loops, best of 3: 92.1 ms per loop As you can see, the generation of this large list of tuples takes just below a second. timeit reports the execution time to be around 0.1 second. Why is there such a big difference in the two reports?

I am trying to use timeit.timeit in order to find how much time it takes to exectute a specific line of code. The problem is that this line includes variables and I need to import them somehow, so my question is how? In order to be more clear, the code looks something like this: def func(): var1 = 'aaa' var2 = 'aab' t1 = timeit.timeit('var1==var2', 'from __main__ import ___', number = 10**4) # here I'm missing what to put after the import If I were trying to execture this code in __main__ I would just import the variable directly with 'from __main__ import var1, var2' Any solution for this

I am trying to measure the time of raw_queries(...) , unsuccessfully so far. I found that I should use the timeit module. The problem is that I can't (= I don't know how) pass the arguments to the function from the environment. Important note: Before calling raw_queries , we have to execute phase2() (environment initialization). Side note: The code is in Python 3. def raw_queries(queries, nlp): """ Submit queries without getting visual response """ for q in queries: nlp.query(q) def evaluate_queries(queries, nlp): """ Measure the time that the queries need to return their results """ t = Timer

Suppose I have some function that takes an array and changes every element to be 0. def function(array): for i in range(0,len(array)): array[i] = 0 return array I want to test how long this function takes to run on a random array, which I wish to generate OUTSIDE of the timeit test. In other words, I don't want to include the time it takes to generate the array into the time. I first store a random array in a variable x and do: timeit.timeit("function(x)",setup="from __main__ import function") But this gives me an error: NameError: global name 'x' is not defined How can I do this? Import x

Let me start off by saying I know almost nothing about python but have to write a program in three different languages (already done in java and c++). I need to be able to time the execution of a method a certain number of times and then print the time it took for the over-all execution time. I.e. I have function A (which is performSearch(arrayTest) where arrayTest is an array of known size). A is executed 10 times I need to be able to time how long it took from before A was executed to after A was executed. You can read how to use timeit here . And assuming you have a function called