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Cocomi - ION Orchard

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Location: To parse the mall location/address, we'll use regular expressions to identify patterns for level, unit, and tower information. The logic prioritizes explicit mentions and then infers information where appropriate, strictly adhering to the specified output format rules. Here's the breakdown of the extraction and formatting logic: 1. **Initialize variables**: `level_val`, `unit_val`, `tower_val` to `None`. 2. **Extract Tower**: Look for "Tower" followed by a number or letter (e.g., "Tower 3", "Tower A"). 3. **Extract Explicit Level**: Look for "Level" followed by a level number (e.g., "Level 2", "Level B1"). 4. **Extract Unit Number**: * First, try to find unit numbers prefixed with "#" or "Unit #" (e.g., "#02-42", "Unit #B1-47A"). * If no unit is found yet, and no explicit level was found, then look for standalone patterns like "B3-06/07" which imply both a level and a unit. If such a pattern is found, extract it as the unit and also infer the level from its prefix (e.g., "B3" from "B3-06/07"). 5. **Construct Output**: Based on the presence of `level_val`, `unit_val`, and `tower_val`, build the output string following the user's specific formatting rules. Let's apply this to the given address: "2 Orchard Turn, B3-06/07, Singapore 238801" - **Tower**: No "Tower" information is found. (`tower_val = None`) - **Explicit Level**: No "Level X" is explicitly mentioned. (`level_val = None`) - **Unit Number**: * Searching for `(?:Unit\s*)?#([BL]?\d+-\d+[A-Z]?(?:/\d+[A-Z]?)?)` (e.g., "#02-42"): No match. * Since `unit_val` is `None` and `level_val` is `None`, we look for a standalone unit-like pattern `\b([BL]?\d+-\d+[A-Z]?(?:/\d+[A-Z]?)?)\b`. This matches "B3-06/07". * `unit_val` is set to "B3-06/07". * From "B3-06/07", we infer the level part "B3". So, `level_val` is set to "B3". - **Constructing the output**: * `level_val` ("B3") is present. * `unit_val` ("B3-06/07") is present. * `tower_val` is `None`. * Following the rule "If you have level and unit: 'Level X, Unit Number #XX-XX'", the output will be "Level B3, Unit Number #B3-06/07". Level B3, Unit Number #B3-06/07

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Step into the world of Cocomi at ION Orchard, where an exquisite selection awaits to elevate your shopping experience. As a destination synonymous with quality and discernment, Cocomi is dedicated to presenting you with a truly diverse array of products, each meticulously chosen to meet the highest standards. Our commitment lies in offering items that not only fulfil your needs but also enrich your lifestyle.

At Cocomi, we believe in the art of curation, ensuring that every item you discover boasts unparalleled craftsmanship and premium materials. Whether you're seeking a unique find, a thoughtful gift, or a timeless treasure, our collection promises to inspire and delight. Immerse yourself in a sophisticated retail environment designed for effortless discovery, where exceptional products are thoughtfully presented to cater to your every desire. Experience the unwavering commitment to excellence that defines Cocomi, making every visit to our ION Orchard boutique a memorable journey into the finest offerings available.
To parse the mall location/address, we'll use regular expressions to identify patterns for level, unit, and tower information. The logic prioritizes explicit mentions and then infers information where appropriate, strictly adhering to the specified output format rules. Here's the breakdown of the extraction and formatting logic: 1. **Initialize variables**: `level_val`, `unit_val`, `tower_val` to `None`. 2. **Extract Tower**: Look for "Tower" followed by a number or letter (e.g., "Tower 3", "Tower A"). 3. **Extract Explicit Level**: Look for "Level" followed by a level number (e.g., "Level 2", "Level B1"). 4. **Extract Unit Number**: * First, try to find unit numbers prefixed with "#" or "Unit #" (e.g., "#02-42", "Unit #B1-47A"). * If no unit is found yet, and no explicit level was found, then look for standalone patterns like "B3-06/07" which imply both a level and a unit. If such a pattern is found, extract it as the unit and also infer the level from its prefix (e.g., "B3" from "B3-06/07"). 5. **Construct Output**: Based on the presence of `level_val`, `unit_val`, and `tower_val`, build the output string following the user's specific formatting rules. Let's apply this to the given address: "2 Orchard Turn, B3-06/07, Singapore 238801" - **Tower**: No "Tower" information is found. (`tower_val = None`) - **Explicit Level**: No "Level X" is explicitly mentioned. (`level_val = None`) - **Unit Number**: * Searching for `(?:Unit\s*)?#([BL]?\d+-\d+[A-Z]?(?:/\d+[A-Z]?)?)` (e.g., "#02-42"): No match. * Since `unit_val` is `None` and `level_val` is `None`, we look for a standalone unit-like pattern `\b([BL]?\d+-\d+[A-Z]?(?:/\d+[A-Z]?)?)\b`. This matches "B3-06/07". * `unit_val` is set to "B3-06/07". * From "B3-06/07", we infer the level part "B3". So, `level_val` is set to "B3". - **Constructing the output**: * `level_val` ("B3") is present. * `unit_val` ("B3-06/07") is present. * `tower_val` is `None`. * Following the rule "If you have level and unit: 'Level X, Unit Number #XX-XX'", the output will be "Level B3, Unit Number #B3-06/07". Level B3, Unit Number #B3-06/07

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