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Elemis London

health Facial Spas

Location: ```python import re def parse_mall_location(address): level = None unit = None tower = None # Convert to lowercase for case-insensitive matching address_lower = address.lower() # 1. Extract Tower information # Pattern: "Tower 3", "Tower A" tower_match = re.search(r'(tower\s+\d+|tower\s+[a-z])', address_lower) if tower_match: tower = tower_match.group(1).title() # Capitalize "Tower" and the number/letter (e.g., "Tower 3", "Tower A") # 2. Extract Level number (explicit "Level X" pattern) # Pattern: "Level 2", "Level B1", "Level G" # Level indicators: B (Basement), L (Level), G (Ground), UG (Upper Ground), LG (Lower Ground), M (Mezzanine), P (Parking) level_explicit_match = re.search(r'level\s+([blgum]\d*|\d+)', address_lower) if level_explicit_match: extracted_level = level_explicit_match.group(1) if extracted_level.isdigit(): level = str(int(extracted_level)) # Normalize "02" to "2" else: level = extracted_level.upper() # Normalize "b1" to "B1", "g" to "G" # 3. Extract Unit number (complex format like #B1-16/16A or #02-42) # This pattern also implies a level, so we can derive it if not already found. # Pattern: #B1-16/16A, B1-16/16A, #02-42, 02-42, Unit #02-42 # The first group captures the full unit string (e.g., "B1-16/16A") unit_complex_match = re.search(r'(?:#|\bunit\s+#?)?(([blgum]\d*|\d+)-\d+[a-z]?(?:/\d+[a-z]?)?)', address_lower) if unit_complex_match: unit_str = unit_complex_match.group(1) # e.g., "b1-16/16a" unit = "#" + unit_str.upper() # Ensure B1, A, etc. are capitalized in unit string (e.g., #B1-16/16A) # Derive level from unit string if not already explicitly found if level is None: derived_level = unit_str.split('-')[0] if derived_level.isdigit(): level = str(int(derived_level)) else: level = derived_level.upper() # 4. Extract Unit number (simple format like #42) # Only if unit hasn't been found by the complex pattern if unit is None: # Pattern: #42, Unit #42, #123A unit_simple_match = re.search(r'(?:#|\bunit\s+#?)(\d+[a-z]?(?:/\d+[a-z]?)?)', address_lower) if unit_simple_match: unit = "#" + unit_simple_match.group(1).upper() # Capitalize any letters in unit (e.g., #123A) # Construct the output string based on available information parts = [] if level: parts.append(f"Level {level}") if unit: parts.append(f"Unit Number {unit}") result = "" if parts: result = ", ".join(parts) if tower: if result: result += f", {tower}" else: result = tower # If only tower is found if not result: return "Location Unknown" else: return result # Example usage with the provided address: address = "2 Orchard Turn, B1-16/16A, Singapore 238801" parsed_location = parse_mall_location(address) print(parsed_location) ```

Step into Elemis London, a truly distinctive retail experience built on a foundation of excellence and meticulous design. Drawing inspiration from the robust legacy of entities like Pelemis Developments Pty Ltd and Westplex Pty Ltd, Elemis London brings unparalleled quality and craftsmanship from the world of commercial development directly to our mall. This innovative space showcases a curated selection where precision meets contemporary style, reflecting an active commitment to superior standards. With roots in Australian private company expertise spanning over a decade, Elemis London offers a unique perspective on modern living. Discover offerings shaped by thoughtful design and enduring value, inviting you to explore a world where foundational strength translates into inspiring retail.
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```python import re def parse_mall_location(address): level = None unit = None tower = None # Convert to lowercase for case-insensitive matching address_lower = address.lower() # 1. Extract Tower information # Pattern: "Tower 3", "Tower A" tower_match = re.search(r'(tower\s+\d+|tower\s+[a-z])', address_lower) if tower_match: tower = tower_match.group(1).title() # Capitalize "Tower" and the number/letter (e.g., "Tower 3", "Tower A") # 2. Extract Level number (explicit "Level X" pattern) # Pattern: "Level 2", "Level B1", "Level G" # Level indicators: B (Basement), L (Level), G (Ground), UG (Upper Ground), LG (Lower Ground), M (Mezzanine), P (Parking) level_explicit_match = re.search(r'level\s+([blgum]\d*|\d+)', address_lower) if level_explicit_match: extracted_level = level_explicit_match.group(1) if extracted_level.isdigit(): level = str(int(extracted_level)) # Normalize "02" to "2" else: level = extracted_level.upper() # Normalize "b1" to "B1", "g" to "G" # 3. Extract Unit number (complex format like #B1-16/16A or #02-42) # This pattern also implies a level, so we can derive it if not already found. # Pattern: #B1-16/16A, B1-16/16A, #02-42, 02-42, Unit #02-42 # The first group captures the full unit string (e.g., "B1-16/16A") unit_complex_match = re.search(r'(?:#|\bunit\s+#?)?(([blgum]\d*|\d+)-\d+[a-z]?(?:/\d+[a-z]?)?)', address_lower) if unit_complex_match: unit_str = unit_complex_match.group(1) # e.g., "b1-16/16a" unit = "#" + unit_str.upper() # Ensure B1, A, etc. are capitalized in unit string (e.g., #B1-16/16A) # Derive level from unit string if not already explicitly found if level is None: derived_level = unit_str.split('-')[0] if derived_level.isdigit(): level = str(int(derived_level)) else: level = derived_level.upper() # 4. Extract Unit number (simple format like #42) # Only if unit hasn't been found by the complex pattern if unit is None: # Pattern: #42, Unit #42, #123A unit_simple_match = re.search(r'(?:#|\bunit\s+#?)(\d+[a-z]?(?:/\d+[a-z]?)?)', address_lower) if unit_simple_match: unit = "#" + unit_simple_match.group(1).upper() # Capitalize any letters in unit (e.g., #123A) # Construct the output string based on available information parts = [] if level: parts.append(f"Level {level}") if unit: parts.append(f"Unit Number {unit}") result = "" if parts: result = ", ".join(parts) if tower: if result: result += f", {tower}" else: result = tower # If only tower is found if not result: return "Location Unknown" else: return result # Example usage with the provided address: address = "2 Orchard Turn, B1-16/16A, Singapore 238801" parsed_location = parse_mall_location(address) print(parsed_location) ```

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