mapping

问题 I have a data structure which essentially amounts to a nested dictionary. Let's say it looks like this: {'new jersey': {'mercer county': {'plumbers': 3, 'programmers': 81}, 'middlesex county': {'programmers': 81, 'salesmen': 62}}, 'new york': {'queens county': {'plumbers': 9, 'salesmen': 36}}} Now, maintaining and creating this is pretty painful; every time I have a new state/county/profession I have to create the lower layer dictionaries via obnoxious try/catch blocks. Moreover, I have to

问题 I want to map a Map<Long, List<ItemAttribute>> inside an @Entity class where ItemAttribute itself is an @Entity defined separately. Here is the code that I am using for mapping: @Entity @Table(name = "ITEM_ATTRIBUTE_GROUP") public class ItemAttributeGroup implements Cloneable, Serializable { @ElementCollection @MapKeyColumn(name="groupId") @JoinTable(name = "ATTRIBUTES_IN_GROUP", joinColumns = @JoinColumn(name = "groupId"), inverseJoinColumns = @JoinColumn(name = "ID")) private Map<Long, List

问题 Ok, so I have a very large database of property information, complete with geographic coordinates. What I need to be able to do is run a query that asks, "give me all properties that are inside a given rectangle or polygon." The user interface would allow the user to define the points of the rectangle or polygon (using a map system). These coordinates would go into the query and sql should return a list of properties in that area. If polygon isn't possible, at least a rectangle would be

问题 I am new to R, and I'd like help in finding a better way to write the following code I've written. Any help would be appreciated. df$rank[between(df$score,0,1.2)] <- 1 df$rank[between(df$score,1.2,2.1)] <- 2 df$rank[between(df$score,2.1,2.9)] <- 3 df$rank[between(df$score,2.9,3.7)] <- 4 df$rank[between(df$score,3.7,4.5)] <- 5 df$rank[between(df$score,4.5,5.4)] <- 6 回答1: You can use cut : df$rank <- cut(x = df$score,c(0,1.2,2.1,2.9,3.7,4.5,5.4,Inf),FALSE) 回答2: library(dplyr) set.seed(1234) df

问题 I am new to R, and I'd like help in finding a better way to write the following code I've written. Any help would be appreciated. df$rank[between(df$score,0,1.2)] <- 1 df$rank[between(df$score,1.2,2.1)] <- 2 df$rank[between(df$score,2.1,2.9)] <- 3 df$rank[between(df$score,2.9,3.7)] <- 4 df$rank[between(df$score,3.7,4.5)] <- 5 df$rank[between(df$score,4.5,5.4)] <- 6 回答1: You can use cut : df$rank <- cut(x = df$score,c(0,1.2,2.1,2.9,3.7,4.5,5.4,Inf),FALSE) 回答2: library(dplyr) set.seed(1234) df

问题 i have query string and i need to convert json object, as shown below ((blue AND green) OR (brown AND green) OR green) AND NOT red { "filter": { "operator": "and", "filters": [{ "operator": "or", "filters": [{ "operator": "and", "filters": [{ "means": "contains", "value": "blue" }, { "means": "contains", "value": "green" } ] }, { "operator": "and", "filters": [{ "means": "contains", "value": "brown" }, { "means": "contains", "value": "green" } ] }, { "means": "contains", "value": "green" } ]

问题 i've got one more question. I upgraded to FluentNHibernate and got now a problem with my dicitionary mappings. The class i'am trying to map has the following Property IDictionary LohnParameter The mapping is as follows HasMany(x => x.LohnParameter) .ForeignKey("cat_condition_version__id") .DictionaryKey("wrd_cntry__id") .OneToMany<boLohnartEigenschaften>() .Not.Lazy() .Inverse() .Cascade.AllDeleteOrphan(); The resulting hbm.xml looks like this: <map cascade="all-delete-orphan" inverse="true"

问题 I am using meshm to plot densities. How do I calculate the center point for each of the bins? I want to associate the data in m with the centerpoints I have looked at the source code of meshm and believe the solution will be a modified version of meshm that returns the latitude and longitudes of each bin's center point. meshm calls the function meshgrat which returns the latitude and longitude points of the mesh that will be plotted by surfacem . The problem is that the lat and lon matrices

问题 My problem essentially comes down to this simplified example. I have data coming back from a DB which has some duplicate information in the rows. In this example I have a list of TeamRow objects that come back from the DB. I can easily group these using Collectors.groupingBy : public class TeamRow { private int id; private String name; private String player; public TeamRow(int id, String name, String player) { this.id = id; this.name = name; this.player = player; } public int getId() {return

问题 I can currently place static points in the map window: var latlng = new GLatLng(lat, lng); map.addOverlay(new GMarker(latlng, markerOptions)); And I know how to get the bounds of the window. I can also code a page that will take the bounds and return the points that are inside them in any format. The problems I have now: Does the moveend event capture all moves, including zoom changes? Or do I need to watch for that event separately? How should I call my external datasource? (should I just do