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# Use AI to refactor code
# The following code has very verbose variable names and redundant typecasting.
# It also uses a while loop instead of a for loop, which can be less efficient
# and create potential for infinite loops if not handled carefully.
# Your task is to use an AI chatbot to refactor this code to be more concise
# and efficient while maintaining the same functionality.
# Highlight over the code blocks below, then open the AI chatbot interface
# (Ctrl + I) and instruct the chatbot to refactor the code to avoid typecasting,
# poor variable names, and the use of while loops.
def compute_fibonacci_number_at_specified_position_in_sequence(position_index_for_fibonacci_calculation):
"""
Computes the nth Fibonacci number using verbose variable names and redundant typecasting
"""
# Initialize variables with confusing names
previous_fibonacci_value_before_current = float(0)
current_fibonacci_value_in_sequence = float(1)
current_iteration_counter_variable = int(float(0))
target_position_converted_to_integer = int(float(position_index_for_fibonacci_calculation))
# Handle base cases
if int(float(target_position_converted_to_integer)) <= int(float(0)):
return int(float(0))
elif int(float(target_position_converted_to_integer)) == int(float(1)):
return int(float(1))
# Use while loop instead of for loop
while int(float(current_iteration_counter_variable)) < int(float(target_position_converted_to_integer)) - int(float(1)):
temporary_storage_for_next_fibonacci_value = float(int(previous_fibonacci_value_before_current)) + float(int(current_fibonacci_value_in_sequence))
previous_fibonacci_value_before_current = float(int(current_fibonacci_value_in_sequence))
current_fibonacci_value_in_sequence = float(int(temporary_storage_for_next_fibonacci_value))
current_iteration_counter_variable = int(float(current_iteration_counter_variable)) + int(float(1))
return int(float(current_fibonacci_value_in_sequence))