FastDebugger

FastDebugger is a debugging tool for Python that allows users to quickly and easily print the values of variables in their code. To use FastDebugger, users simply call the fd() function and pass it the variables they want to print. FastDebugger will then print the variable name, value and other useful information. This can be helpful for quickly checking the values of variables and troubleshooting code.

Contents

• Author
• Installation
• Call variables
  • Examples
• How to use
  • Basic example
  • Lists, sets, tuples and dictionarys
  • Numpy arrays

Author

• @RasseTheBoy

Installation

Install using pip

  pip install FastDebugger

  pip3 install FastDebugger

Call variables

fd(*args:Any, nl:bool=True)

The fd() call can take in any variables as arguments. It does not matter what type the variables are or how many there are. FastDebugger will print the type and value of each variable passed to it.

The nl parameter determines if a newline is printed after the fd() call.

Examples

Input:

from FastDebugger import fd

fd = FastDebugger()

lst = [123, True, 'Hello world!']

fd(lst, nl=True)
print('Foo')
fd(lst, nl=False) # Default value of `nl` is False
print('Foo')

Output:

fd |  list |  3  | lst
 ╟ |  int  |  0  | 123
 ╟ |  bool |  1  | True
 ╚ |  str  |  2  | 'Hello world!'

Foo
fd |  list |  3  | lst
 ╟ |  int  |  0  | 123
 ╟ |  bool |  1  | True
 ╚ |  str  |  2  | 'Hello world!'
Foo

How to use

Basic example

Input:

from FastDebugger import fd

def foo(x, y, z):
    result = x + y + z
    fd(x, y, z, result)

foo(1, 2, 3)

Output:

fd |  int  | x: 1
fd |  int  | y: 2
fd |  int  | z: 3
fd |  int  | result: 6

Output format:

fd | {variable type} | {variable name}: {variable value}

Lists, sets, tuples and dictionarys

Input:

from FastDebugger import fd
from random import randint

def bar(n):
    lst = [randint(0, n) for _ in range(n)]
    dct = {f'key_{i}': randint(0, n) for i in range(n)}
    tpl = tuple(randint(0, n) for _ in range(n))
    st = {randint(0, n) for _ in range(n)}

    fd(lst, st, tpl, dct, nl=True)

bar(5)

Output:

fd |  list |  5  | lst
 ╟ |  int  |  0  | 4
 ╟ |  int  |  1  | 5
 ╟ |  int  |  2  | 3
 ╟ |  int  |  3  | 5
 ╚ |  int  |  4  | 4

fd |  set  |  3  | st
 ╟ |  int  |  0  | 0
 ╟ |  int  |  1  | 2
 ╚ |  int  |  2  | 3

fd | tuple |  5  | tpl
 ╟ |  int  |  0  | 3
 ╟ |  int  |  1  | 5
 ╟ |  int  |  2  | 0
 ╟ |  int  |  3  | 3
 ╚ |  int  |  4  | 5

fd |  dict |  5  | dct
 ╟ |  int  |  0  | key_0: 0
 ╟ |  int  |  1  | key_1: 1
 ╟ |  int  |  2  | key_2: 1
 ╟ |  int  |  3  | key_3: 0
 ╚ |  int  |  4  | key_4: 3

Output format (list, set, tuple):

fd | {array type} | {array length} | {array name}
 ╚ | {variable type} | {index in array} | {variable value}

Output format (dictionary):

fd | dict | {dict length} | {dict name}
 ╚ | {value type} | {index in dict} | {key}: {value}

Numpy arrays

Input:

from FastDebugger import fd
import numpy as np

def bar(a, b):
    c = a * b
    d = np.sin(c)
    e = np.cos(d)
    f = np.tan(e)
    fd(a, b, c, d, e, f, nl=True)

bar(np.array([1, 2, 3]), np.array([4, 5, 6]))

Output:

fd | ndarray |  3  | a
 ╟ | int32 |  0  | 1
 ╟ | int32 |  1  | 2
 ╚ | int32 |  2  | 3

fd | ndarray |  3  | b
 ╟ | int32 |  0  | 4
 ╟ | int32 |  1  | 5
 ╚ | int32 |  2  | 6

fd | ndarray |  3  | c
 ╟ | int32 |  0  | 4
 ╟ | int32 |  1  | 10
 ╚ | int32 |  2  | 18

fd | ndarray |  3  | d
 ╟ | float64 |  0  | -0.7568024953079282
 ╟ | float64 |  1  | -0.5440211108893698
 ╚ | float64 |  2  | -0.7509872467716762

fd | ndarray |  3  | e
 ╟ | float64 |  0  | 0.7270351311688124
 ╟ | float64 |  1  | 0.8556343548213666
 ╚ | float64 |  2  | 0.7310155667453406

fd | ndarray |  3  | f
 ╟ | float64 |  0  | 0.8895922779758605
 ╟ | float64 |  1  | 1.1513517113559995
 ╚ | float64 |  2  | 0.8967481047747234

Output format (exactly like lists, sets...):

fd | {array type} | {array length} | {array name}
 ╚ | {variable type} | {index in array} | {variable value}