EK-Memory-fish 12X12 Multiplication Game Table Stress Big Push Rainbow Square Fidget it Toy Relieving Fidget Game for Teachers to Create Kinds of Math Manipulatives Math Toy【with12x12 Multiplication】

EK-Memory-fish Big Size Push P0pp Fidget Ttoy - Not only a simple and interesting toy, but also educational and healthy. 【Description】: 1. It is suitable for all kinds of people, and it is also suitable for children with ADD or ADHD and people with OCD or high stress/anxiety levels. 2. It is a perfect portable game and annoying toy, or you can give it to your child as a game toy, which can be used as a frisbee game. 3. This new designed item comes with 1-100 numbers that can help teachers to create kinds of math manipulatives, will let children to learn math in fun. 4. This popular fidget ttoy is also suitable for children, adults and the elderly to resist anxiety, reduce ADHD, relieve depression and make you more focused on work. 【Features】: - Material : Silicone - Size : 20cm*20cm*1.6cm( 5.9inch x 5.9inch x 0.63inch ) - Basic Color : Rainbow / Multi - color - Color of the 1-100 Numbers : White - color - Shape: Square - Unit weight : 170g 【Package include】: Big size Push P0pp Bubble Sensory Fidget ttoy *1pcs 【How to play】: 1.Player take turns to press down any number of p0pp bubble in a single row. 2.Each player can press 1-3 piece at a time, must be connected and press the same line of pieces at a time. 3.The player who presses down the last p0pp loses the round. Player can make your own game rule for this p0pp bubble sensory fidget toy. 【Notice】: 1.Because the different monitor and light effect, the actual color maybe a slightly different from the picture color. 2. Due to manual measurement please allow 0.5-1cm differences

ASIN

B09JMTFZLT

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

1ms·cache hitGET /v2/namespaces/amazon-products/documents/B09JMTFZLT

How it works

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.