Library to optimise picking in the warehouse This library includes algorithms that should lead to improvements in picking path optimization in the warehouse. Any specifications that

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Here is a list of all documented class members with links to the class documentation for each member:

### - a -

- addBox() : BoxConfiguration
- addCartShelf() : CartConfiguration
- addItem() : Box
- addItemSpecification() : OItem
- addOItem() : Customer
- addToEstimatedWalkedDistance() : Cart

### - b -

- Box() : Box

### - c -

- Cart() : Cart
- CartConfiguration() : CartConfiguration
- count_of_units : BoxItem
- countTotalWeightAndVolume() : Customer
- countUnitsUp() : BoxItem
- countWeightAndVolume() : OItem

### - e -

- exportCartsToJson() : CartsLoader

### - g -

- getCapacity() : Box
- getCartFreeSpace() : Cart
- getCartPattern() : CartConfiguration
- getCustomerVector() : Cart
- getDistanceBetweenAddresses() : Warehouse
- getFirstBox() : BoxConfiguration
- getFreeCapacity() : Box
- getItemsInTheBox() : Box
- getItemVector() : Cart
- getRawSectorAddress() : WAddress
- getUsedCapacity() : Box
- getVolume() : OItem
- getWarehouseWAddress() : WAddress
- getWeight() : OItem

### - i -

- isEmpty() : Box
- item_spec : OItem
- item_vect : Customer
- ItemSpecification() : ItemSpecification

### - l -

- loadCustomer() : Cart
- loadingCartsRun() : CartsLoader
- loadItemsAndSpec() : CartsLoader

### - n -

- Number_of_K_Means_Iterations : SolverConfiguration

### - o -

- OItem() : OItem

### - p -

- percentage_kmeans : SolverConfiguration

### - r -

- removeCartShelves() : CartConfiguration

### - s -

- setCartOItemVector() : Cart
- SolverConfiguration() : SolverConfiguration

### - t -

- testUsedData() : CartsLoader
- Type : ItemSpecification

### - w -

- waddress : OItem
- WAddress() : WAddress
- Warehouse() : Warehouse
- width : Box

### - ~ -

- ~WAddress() : WAddress