import re
from typing import List
# Pre-compile the regex pattern for optimal performance when scanning strings.
# \b creates word boundaries; \d+\.\d+ ensures numbers explicitly contain a decimal point.
FLOAT_PATTERN: re.Pattern = re.compile(r"\b\d+\.\d+\b")
def extract_floats(text: str) -> List[float]:
"""Extracts all floating-point numbers containing explicit decimal points
from an input string.
Args:
text: Source string containing mixed text and numbers.
Returns:
List of extracted values as float primitives.
"""
if not text:
return []
# re.finditer yields match objects lazily, preventing large temporary list allocations
# float() converts string representations to standard double-precision floats
return [float(match.group()) for match in FLOAT_PATTERN.finditer(text)]
def main() -> None:
# Example input string
s: str = "c/c++ c# go 893725.1045 java python 3.14 php 0.0076 javascript"
# Extract floating-point numbers
numbers: List[float] = extract_floats(s)
# Display results
print("Extracted floating-point numbers:")
for num in numbers:
print(num)
if __name__ == "__main__":
main()
"""
run:
Extracted floating-point numbers:
893725.1045
3.14
0.0076
"""
