Implement List/sum and List/range functions in Bend built-ins

[Sipher]

1. List/sum(list)

@spec List/sum(List[Number]) -> Number

Calculates the sum of all numbers in the given list.

Parameters

• list: A list of numbers (integers or floats)

Returns the sum of all numbers in the list.

Possible (but not limited to) errors:

• InvalidType: If the list contains non-numeric elements

Examples

# Sum an empty list
result = List/sum([])
# 0

# Sum a list of integers
result = List/sum([1, 2, 3, 4, 5])
# 15

# Sum a list of floats
result = List/sum([1.5, 2.7, 3.2])
# 7.4

# Attempt to sum a list with non-numeric elements
result = List/sum([1, 2, "3", 4])
# InvalidType: List contains non-numeric elements

2. List/range(start, stop, step=1)

@spec List/range(int, int, int) -> List[int]

Generates a list of integers from start to stop (exclusive) with a given step.

Parameters

• start: The starting value of the range (inclusive)
• stop: The ending value of the range (exclusive)
• step: The difference between each number in the range (default is 1)

Returns a list of integers.

Possible (but not limited to) errors:

• InvalidValue: If step is 0, or if the range would never terminate

Examples

# Generate a simple range
result = List/range(0, 5)
# [0, 1, 2, 3, 4]

# Generate a range with a custom step
result = List/range(0, 10, 2)
# [0, 2, 4, 6, 8]

# Generate a descending range
result = List/range(5, 0, -1)
# [5, 4, 3, 2, 1]

# Attempt to create a range with a step 0
result = List/range(0, 5, 0)
# `InvalidValue`: Step cannot be zero

# Create an empty range
result = List/range(0, 0)
# []

Considerations

• Ensure efficient implementation, especially for List/range with large ranges
• For List/sum, consider using an appropriate numeric type to avoid overflow for large sums
• Implement proper error checking and handling
• Ensure compatibility with both integer and floating-point numbers for List/sum
• For List/range, consider memory efficiency for large ranges
• Implement appropriate type checking to ensure arguments are of the correct type

Test cases to implement

1. Sum a list of positive integers
2. Sum a list of negative integers
3. Sum a list of mixed positive and negative integers
4. Sum a list of floating-point numbers
5. Attempt to sum an empty list
6. Attempt to sum a list with non-numeric elements
7. Generate a range with only positive integers
8. Generate a range with negative integers
9. Generate a range with a custom step (both positive and negative)
10. Generate a range that results in an empty list
11. Attempt to generate a range with a step of 0
12. Generate a very large range and check for memory efficiency
13. Sum a very large list and check for numeric overflow handling
14. Generate ranges with various combinations of start, stop, and step values