Python đặt thời gian thực hiện tối đa

Có nhiều mô-đun Python như mô-đun time, timeit và datetime trong Python có thể lưu trữ thời gian mà một phần cụ thể của chương trình đang được thực thi. Bằng cách thao tác hoặc lấy sự khác biệt giữa thời điểm bắt đầu và kết thúc khi một phần cụ thể đang được thực thi, chúng ta có thể tính toán thời gian cần thiết để thực hiện phần đó.  

Các phương pháp sau đây có thể được sử dụng để tính chênh lệch thời gian

• Mô-đun thời gian Python cung cấp các chức năng liên quan đến thời gian khác nhau. Mô-đun này nằm trong các mô-đun tiện ích tiêu chuẩn của Python. thời gian. time() của mô-đun Time được sử dụng để lấy thời gian tính bằng giây kể từ epoch. Việc xử lý các giây nhuận phụ thuộc vào nền tảng
• Mô-đun datetime trong Python xác định một hàm có thể được sử dụng chủ yếu để lấy ngày và giờ hiện tại. Hàm now() Trả về ngày và giờ địa phương hiện tại, được xác định trong mô-đun datetime
• Mô-đun timeit trong Python chạy đoạn mã của bạn n lần (giá trị mặc định là 1000000) để bạn có được phép đo thời gian thực thi mã phù hợp nhất về mặt thống kê

Sử dụng mô-đun thời gian kiểm tra thời gian thực thi của Python

ví dụ 1. Đo thời gian thực hiện cho một đoạn mã bằng cách ghi lại thời gian bắt đầu và kết thúc

Tính toán thời gian bằng cách sử dụng mô-đun thời gian và thời gian. hàm thời gian (). Chúng tôi đã tính toán thời gian của chương trình trên, xuất hiện theo thứ tự 10^-3. Chúng ta có thể kiểm tra thời gian bằng cách tăng số lần tính toán bằng các thuật toán tương tự

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01______311

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09

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09

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12

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12

đầu ra

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5

ví dụ 2. Đo thời gian dành cho một đoạn mã bằng cách cộng thời gian cần thiết cho mỗi lần lặp lại

Kiểm tra thời gian thực hiện chương trình cho các số lần tính toán khác nhau. Chúng tôi nhận thấy xu hướng chung là tăng thời gian tính toán để tăng số lần thực hiện. Tuy nhiên, nó có thể không hiển thị bất kỳ xu hướng tuyến tính hoặc mức tăng cố định nào

Python3

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85

 

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18

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7

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830

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9

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00

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01

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11

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12

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836

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12

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11

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03

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04

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841

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04

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0

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1

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2

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04

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4

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1

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6

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04

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7

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Iteration: 5400    Time taken: 6.504ms
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8

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Iteration: 300    Time taken: 0.291ms
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9

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00

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855

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856

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Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
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4

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Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
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Iteration: 5400    Time taken: 6.504ms
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06

Iteration: 100    Time taken: 0.105ms
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Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
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1

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Iteration: 600    Time taken: 0.613ms
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08

Iteration: 100    Time taken: 0.105ms
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Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
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Iteration: 5400    Time taken: 6.504ms
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09

Iteration: 100    Time taken: 0.105ms
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Iteration: 300    Time taken: 0.291ms
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09

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
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Iteration: 700    Time taken: 0.791ms
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11

Iteration: 100    Time taken: 0.105ms
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Iteration: 400    Time taken: 0.398ms
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Iteration: 600    Time taken: 0.613ms
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Iteration: 5400    Time taken: 6.504ms
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12

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
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Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

04

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
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866

Iteration: 100    Time taken: 0.105ms
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04

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Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

14

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
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Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
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Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

1

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Iteration: 300    Time taken: 0.291ms
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Iteration: 500    Time taken: 0.504ms
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Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

2

 

Iteration: 100    Time taken: 0.105ms
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Iteration: 700    Time taken: 0.791ms
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Iteration: 5400    Time taken: 6.504ms
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04

Iteration: 100    Time taken: 0.105ms
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Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

02

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
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04

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

19

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

05

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

06

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
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Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

12

đầu ra

Iteration: 100    Time taken: 0.105ms
Iteration: 200    Time taken: 0.191ms
Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
Iteration: 600    Time taken: 0.613ms
Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
Iteration: 5500    Time taken: 6.630ms

Giải trình. Ở đây chúng tôi đã cắt bớt đầu ra cho mục đích đại diện. Nhưng nếu chúng ta so sánh các lần lặp lại từ 100 đến 700 thì chúng nhỏ hơn 1ms. Nhưng đến cuối vòng lặp, mỗi lần lặp mất ~7ms. Do đó, có sự gia tăng thời gian thực hiện khi số lần lặp lại tăng lên. Điều này thường là do, vòng lặp bên trong lặp lại nhiều lần hơn tùy thuộc vào mỗi lần lặp bên ngoài

Sử dụng mô-đun DateTime kiểm tra thời gian thực hiện

Sử dụng mô-đun datetime trong Python và datetime. now() để ghi lại dấu thời gian của phiên bản bắt đầu và kết thúc và tìm sự khác biệt để lấy thời gian thực thi mã

Python3

Iteration: 100    Time taken: 0.105ms
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Iteration: 700    Time taken: 0.791ms
...
Iteration: 5400    Time taken: 6.504ms
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08

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Iteration: 300    Time taken: 0.291ms
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Iteration: 5400    Time taken: 6.504ms
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09

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Iteration: 300    Time taken: 0.291ms
Iteration: 400    Time taken: 0.398ms
Iteration: 500    Time taken: 0.504ms
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Iteration: 5400    Time taken: 6.504ms
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84

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Iteration: 5400    Time taken: 6.504ms
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09

 

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12

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Iteration: 5400    Time taken: 6.504ms
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0

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1

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4

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1

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00

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01

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02

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4

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06

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1

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08

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09

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09

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11

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12

 

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36

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14

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1

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15

 

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40

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41

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1

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15

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45

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09

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18

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09

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09

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11

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19

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05

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53

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12

đầu ra

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0

Sử dụng mô-đun timeit kiểm tra thời gian thực hiện

Điều này sẽ cho chúng ta thời gian thực hiện của bất kỳ chương trình nào. Mô-đun này cung cấp một cách đơn giản để tìm thời gian thực thi của các đoạn mã Python nhỏ. Nó cung cấp phương thức timeit() để làm điều tương tự. Chức năng mô-đun timeit. timeit(stmt, setup, timer, number) chấp nhận bốn đối số

• stmt đó là tuyên bố bạn muốn đo lường;
• thiết lập, là mã mà bạn chạy trước khi chạy stmt; . Chúng tôi thường sử dụng điều này để nhập các mô-đun cần thiết cho mã của mình
• hẹn giờ, đó là một timeit. Đối tượng hẹn giờ;
• Số, là số lần thực thi mà bạn muốn chạy stmt

ví dụ 1. Sử dụng timeit bên trong đoạn mã Python để đo thời gian thực hiện

Python3

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60

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1

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63

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64

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1

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04

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72

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856

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74

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67

 

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76

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77

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1

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79

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1

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81

_______082____083____01

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85

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82

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87

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1

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89

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12

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09

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18

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09

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09

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11

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19

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05

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98

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12

đầu ra

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1

ví dụ 2. Sử dụng timeit từ dòng lệnh để đo thời gian thực hiện

Chúng ta có thể đo thời gian thực hiện bằng các câu lệnh mã đơn giản mà không cần phải viết tệp Python mới, sử dụng giao diện timeit CLI