BitFlip

source

BitFlip(
   flip_list: list = None, debug: Debug = Debug.DEPLOY
)

---

Add the Bit Flip Noise System to the data

Args

• debug (Debug) : the debug flag
• flip_list (list[int]) : A list of integer index that defines the bit index that should be flipped

Example

>>> from lib.noise.schema import NoiseType
>>> noise_system = NoiseFactory(NoiseType.BIT_FLIP, flip_list=[6])
>>> noise_system.add_noise(b'OUO')
b'MUO'
>>> noise_system.add_noise(b'OUO')
b'MUO'
>>> noise_system = NoiseFactory(NoiseType.BIT_FLIP)
>>> noise_system.add_noise(b'OUO')
b'OuO'
>>> noise_system.add_noise(b'OUO')
b'OÕO'

Methods:

.__add_noise

source

.__add_noise(
   data: int
)

---

The method to add noise

Args

• data (int) : The data to add noise at

Returns

• int : the data with the noise

Note

The algorithm of this method is using a xor mask to flip the data , since x ^ 0 = x, x ^ 1 = !x Given an example

| 0 | 1 | 2 | 3 | 4 |

| 1 | 0 | 1 | 1 | 0 |
--------------------- XOR
| 0 | 0 | 1 | 0 | 1 |
--------------------- Results
| 1 | 0 |*0*| 1 |*1*|

You can see that except the $2^{nd}$ and the $4^{th}$ data, the data remains the same.

.add_noise

source

.add_noise(
   data: int
)

---

Validate the flip_list and add the noise to the data

Args

• data (int) : The data to be noise added

Raises

• IndexError : the flip_list contains integers that exceeds the length of the original data

Returns

• int : the data with the noise