Using this code

import numpy as np # Importing the NumPy library for numerical calculations def calculate $\_$ series $\_$ reliability $($ reliabilities $)$ : $"""$ Calculates the overall reliability of components connected in series. Args: reliabilities: A list of individual component reliabilities $($ each between $0$ and $1).$ Returns: The overall reliability of the series system $($ a value between $0$ and $1)."""$ overall $\_$ reliability $=$ np $.$ prod $($ reliabilities $)$ # Calculate the product of individual reliabilities return overall $\_$ reliability def calculate $\_$ parallel $\_$ reliability $($ reliabilities $)$ : $"""$ Calculates the overall reliability of components connected in parallel. Args: reliabilities: A list of individual component reliabilities $($ each between $0$ and $1).$ Returns: The overall reliability of the parallel system $($ a value between $0$ and $1)."""$ unreliability $=1-$ np $.$ array $($ reliability $)$ # Calculate unreliability $(1-$ reliability $)$ overall $\_$ unreliability $=$ np $.$ prod $($ unreliabilities $)$ # Calculate the product of unreliabilities return $1-$ overall $\_$ unreliability # Subtract overall unreliability from $1$ to get reliability def calculate $\_$ bridge $\_$ reliability $($ top $\_$ reliabilities, bottom $\_$ reliabilities $)$ : $"""$ Calculates the reliability of a standard bridge structure. Args: top $\_$ reliabilities: A list of reliabilities of components in the top path. bottom $\_$ reliabilities: A list of reliabilities of components in the bottom path. Returns: The overall reliability of the bridge system $($ a value between $0$ and $1)."""$ top $\_$ path $\_$ reliability $=$ calculate $\_$ series $\_$ reliability $($ top $\_$ reliabilities $)$ bottom $\_$ path $\_$ reliability $=$ calculate $\_$ series $\_$ reliability $($ bottom $\_$ reliabilities $)$ return calculate $\_$ parallel $\_$ reliability $([$ top $\_$ path $\_$ reliability, bottom $\_$ path $\_$ reliability $])$ # Treat paths as parallel.

Assume each individual reliability is $0\mathrm{.}95$