TINGLI USB Power Supply Cable for AA Battery,Replace 3AA 4.5V Battery,Reusable Batteries for Clocks, Toys, Holiday Lights, Fans, LEDs(Separable) Black
Features: No Need To Change Battery Frequently: With this AA battery eliminator Power supply,you don't need to buy a lot of replacement batteries when the batteries run out,saving you more time and money. Power supply from USB charger,power bank,car USB charger and more USB adapter,removable design, can pass through the small hole of the battery cover Suitable for Beard Trimmer Toothbrush Make-up Mirror Camera,Flashlights,controller,Radio,electric toy,fan, holiday lights,Clocks,luminara candles,Walkie talkie,Calculator,power remote controller, keyboard, Christmas advent calendar display,Walkman and more AA Battery power supply devices. if your device needs 2pcs AA battery,please choose 3V 2AA,and use 1pc AA dummy battery,if your device needs 3pcs AA battery,please choose 4.5V 3AA,use 2pcs AA dummy battery,and so on,6V=4AA Batteries, and so on. 100% brand new and high quality Replace 1 to 4pcs 1.5V AA battery power supply cord,This eliminates the need for 1 to 4pcs 1.5V AA batteries,green dummy battery is conductor,without power,AA Fake batteries cannot be used in parallel, only in series. Specifications:Color: Black Material: Plastic Power Cable length: 110cm USB input: 5V 2A AA dummy battery output: DC 1.5V/1.5A,3V/1.5A,4.5V/1.2A,6V/1A(optional) Note:1.Transition: 1cm=10mm=0.39inch 2.Please allow 0-1cm error due to manual measurement. pls make sure you do not mind before you bid. 3.Due to the difference between different monitors, the picture may not reflect the actual color of the item. Thank you!Package includes:1x USB to AA Battery Eliminator
- ASIN
- B09CYZNZ77
- Embedding
- CLIP ViT-L/14 · 768d
- Distance metric
- cosine
- Doc fetch
- 1mscache hitGET /v2/namespaces/amazon-products/documents/B09CYZNZ77
- Similar query
- 20msnearest_to_id → /query
Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.