Minor update

README.md

@@ -1,10 +1,10 @@
 # namsor-sdk2
 
 NamSor API v2
-- API version: 2.0.13
-  - Build date: 2021-03-15T09:38:22.982+01:00[Europe/Berlin]
+- API version: 2.0.14
+  - Build date: 2021-07-12T18:00:09.597+02:00[Europe/Berlin]
 
-NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
+NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
 
   For more information, please visit [http://www.namsor.com/](http://www.namsor.com/)
 
@@ -41,7 +41,7 @@ Add this dependency to your project's POM:
 <dependency>
   <groupId>com.namsor</groupId>
   <artifactId>namsor-sdk2</artifactId>
-  <version>2.0.13</version>
+  <version>2.0.14</version>
   <scope>compile</scope>
 </dependency>
 ```
@@ -51,7 +51,7 @@ Add this dependency to your project's POM:
 Add this dependency to your project's build file:
 
 ```groovy
-compile "com.namsor:namsor-sdk2:2.0.13"
+compile "com.namsor:namsor-sdk2:2.0.14"
 ```
 
 ### Others
@@ -64,7 +64,7 @@ mvn clean package
 
 Then manually install the following JARs:
 
-* `target/namsor-sdk2-2.0.13.jar`
+* `target/namsor-sdk2-2.0.14.jar`
 * `target/lib/*.jar`
 
 ## Getting Started
@@ -207,10 +207,10 @@ Class | Method | HTTP request | Description
 *PersonalApi* | [**parseNameGeoBatch**](docs/PersonalApi.md#parseNameGeoBatch) | **POST** /api2/json/parseNameGeoBatch | Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John. Giving a local context improves precision. 
 *PersonalApi* | [**parsedGenderBatch**](docs/PersonalApi.md#parsedGenderBatch) | **POST** /api2/json/parsedGenderBatch | Infer the likely gender of up to 100 fully parsed names, detecting automatically the cultural context.
 *PersonalApi* | [**parsedGenderGeoBatch**](docs/PersonalApi.md#parsedGenderGeoBatch) | **POST** /api2/json/parsedGenderGeoBatch | Infer the likely gender of up to 100 fully parsed names, detecting automatically the cultural context.
-*PersonalApi* | [**usRaceEthnicity**](docs/PersonalApi.md#usRaceEthnicity) | **GET** /api2/json/usRaceEthnicity/{firstName}/{lastName} | [USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino).
-*PersonalApi* | [**usRaceEthnicityBatch**](docs/PersonalApi.md#usRaceEthnicityBatch) | **POST** /api2/json/usRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy.
-*PersonalApi* | [**usRaceEthnicityZIP5**](docs/PersonalApi.md#usRaceEthnicityZIP5) | **GET** /api2/json/usRaceEthnicityZIP5/{firstName}/{lastName}/{zip5Code} | [USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino).
-*PersonalApi* | [**usZipRaceEthnicityBatch**](docs/PersonalApi.md#usZipRaceEthnicityBatch) | **POST** /api2/json/usZipRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code.
+*PersonalApi* | [**usRaceEthnicity**](docs/PersonalApi.md#usRaceEthnicity) | **GET** /api2/json/usRaceEthnicity/{firstName}/{lastName} | [USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
+*PersonalApi* | [**usRaceEthnicityBatch**](docs/PersonalApi.md#usRaceEthnicityBatch) | **POST** /api2/json/usRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
+*PersonalApi* | [**usRaceEthnicityZIP5**](docs/PersonalApi.md#usRaceEthnicityZIP5) | **GET** /api2/json/usRaceEthnicityZIP5/{firstName}/{lastName}/{zip5Code} | [USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
+*PersonalApi* | [**usZipRaceEthnicityBatch**](docs/PersonalApi.md#usZipRaceEthnicityBatch) | **POST** /api2/json/usZipRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
 *SocialApi* | [**phoneCode**](docs/SocialApi.md#phoneCode) | **GET** /api2/json/phoneCode/{firstName}/{lastName}/{phoneNumber} | [USES 11 UNITS PER NAME] Infer the likely country and phone prefix, given a personal name and formatted / unformatted phone number.
 *SocialApi* | [**phoneCodeBatch**](docs/SocialApi.md#phoneCodeBatch) | **POST** /api2/json/phoneCodeBatch | [USES 11 UNITS PER NAME] Infer the likely country and phone prefix, of up to 100 personal names, detecting automatically the local context given a name and formatted / unformatted phone number.
 *SocialApi* | [**phoneCodeGeo**](docs/SocialApi.md#phoneCodeGeo) | **GET** /api2/json/phoneCodeGeo/{firstName}/{lastName}/{phoneNumber}/{countryIso2} | [USES 11 UNITS PER NAME] Infer the likely phone prefix, given a personal name and formatted / unformatted phone number, with a local context (ISO2 country of residence).

build.gradle

@@ -2,7 +2,7 @@ apply plugin: 'idea'
 apply plugin: 'eclipse'
 
 group = 'com.namsor'
-version = '2.0.13'
+version = '2.0.14'
 
 buildscript {
     repositories {

build.sbt

@@ -2,7 +2,7 @@ lazy val root = (project in file(".")).
   settings(
     organization := "com.namsor",
     name := "namsor-sdk2",
-    version := "2.0.13",
+    version := "2.0.14",
     scalaVersion := "2.11.4",
     scalacOptions ++= Seq("-feature"),
     javacOptions in compile ++= Seq("-Xlint:deprecation"),

docs/FirstLastNamePhoneCodedOut.md

@@ -19,8 +19,8 @@ Name | Type | Description | Notes
 **phoneNumber** | **String** |  |  [optional]
 **verified** | **Boolean** |  |  [optional]
 **score** | **Double** |  |  [optional]
-**countryIso2** | **String** |  |  [optional]
 **category** | **String** |  |  [optional]
+**countryIso2** | **String** |  |  [optional]
 
 
 

docs/FirstLastNameUSRaceEthnicityOut.md

@@ -25,6 +25,8 @@ W_NL | "W_NL"
 HL | "HL"
 A | "A"
 B_NL | "B_NL"
+AI_AN | "AI_AN"
+PI | "PI"
 
 
 <a name="RaceEthnicityEnum"></a>
@@ -35,6 +37,8 @@ W_NL | &quot;W_NL&quot;
 HL | &quot;HL&quot;
 A | &quot;A&quot;
 B_NL | &quot;B_NL&quot;
+AI_AN | &quot;AI_AN&quot;
+PI | &quot;PI&quot;
 
 
 

docs/PersonalApi.md

@@ -26,10 +26,10 @@ Method | HTTP request | Description
 [**parseNameGeoBatch**](PersonalApi.md#parseNameGeoBatch) | **POST** /api2/json/parseNameGeoBatch | Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John. Giving a local context improves precision. 
 [**parsedGenderBatch**](PersonalApi.md#parsedGenderBatch) | **POST** /api2/json/parsedGenderBatch | Infer the likely gender of up to 100 fully parsed names, detecting automatically the cultural context.
 [**parsedGenderGeoBatch**](PersonalApi.md#parsedGenderGeoBatch) | **POST** /api2/json/parsedGenderGeoBatch | Infer the likely gender of up to 100 fully parsed names, detecting automatically the cultural context.
-[**usRaceEthnicity**](PersonalApi.md#usRaceEthnicity) | **GET** /api2/json/usRaceEthnicity/{firstName}/{lastName} | [USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino).
-[**usRaceEthnicityBatch**](PersonalApi.md#usRaceEthnicityBatch) | **POST** /api2/json/usRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy.
-[**usRaceEthnicityZIP5**](PersonalApi.md#usRaceEthnicityZIP5) | **GET** /api2/json/usRaceEthnicityZIP5/{firstName}/{lastName}/{zip5Code} | [USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino).
-[**usZipRaceEthnicityBatch**](PersonalApi.md#usZipRaceEthnicityBatch) | **POST** /api2/json/usZipRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code.
+[**usRaceEthnicity**](PersonalApi.md#usRaceEthnicity) | **GET** /api2/json/usRaceEthnicity/{firstName}/{lastName} | [USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
+[**usRaceEthnicityBatch**](PersonalApi.md#usRaceEthnicityBatch) | **POST** /api2/json/usRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
+[**usRaceEthnicityZIP5**](PersonalApi.md#usRaceEthnicityZIP5) | **GET** /api2/json/usRaceEthnicityZIP5/{firstName}/{lastName}/{zip5Code} | [USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
+[**usZipRaceEthnicityBatch**](PersonalApi.md#usZipRaceEthnicityBatch) | **POST** /api2/json/usZipRaceEthnicityBatch | [USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
 
 
 <a name="corridor"></a>
@@ -1228,7 +1228,7 @@ Name | Type | Description  | Notes
 # **usRaceEthnicity**
 > FirstLastNameUSRaceEthnicityOut usRaceEthnicity(firstName, lastName)
 
-[USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino).
+[USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
 
 ### Example
 ```java
@@ -1283,7 +1283,7 @@ Name | Type | Description  | Notes
 # **usRaceEthnicityBatch**
 > BatchFirstLastNameUSRaceEthnicityOut usRaceEthnicityBatch(batchFirstLastNameGeoIn)
 
-[USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy.
+[USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
 
 ### Example
 ```java
@@ -1336,7 +1336,7 @@ Name | Type | Description  | Notes
 # **usRaceEthnicityZIP5**
 > FirstLastNameUSRaceEthnicityOut usRaceEthnicityZIP5(firstName, lastName, zip5Code)
 
-[USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino).
+[USES 10 UNITS PER NAME] Infer a US resident&#39;s likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
 
 ### Example
 ```java
@@ -1393,7 +1393,7 @@ Name | Type | Description  | Notes
 # **usZipRaceEthnicityBatch**
 > BatchFirstLastNameUSRaceEthnicityOut usZipRaceEthnicityBatch(batchFirstLastNameGeoZippedIn)
 
-[USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code.
+[USES 10 UNITS PER NAME] Infer up-to 100 US resident&#39;s likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code. Output is W_NL (white, non latino), HL (hispano latino),  A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
 
 ### Example
 ```java

pom.xml

@@ -5,7 +5,7 @@
     <artifactId>namsor-sdk2</artifactId>
     <packaging>jar</packaging>
     <name>namsor-sdk2</name>
-    <version>2.0.13</version>
+    <version>2.0.14</version>
     <url>https://github.com/openapitools/openapi-generator</url>
     <description>OpenAPI Java</description>
     <scm>

run-java.bash

@@ -2,7 +2,7 @@ echo update openapi-generator
 ./bin/utils/openapi-generator-cli.sh
 rm -Rf ./namsor/client/java/
 echo run openapi-generator
-java -jar modules/openapi-generator-cli/target/openapi-generator-cli.jar generate --git-repo-id namsor-java-sdk2 --git-user-id namsor --artifact-version 2.0.13 --group-id com.namsor --artifact-id namsor-sdk2 --invoker-package com.namsor.sdk2.invoke --model-package com.namsor.sdk2.model --api-package com.namsor.sdk2.api -i https://v2.namsor.com/NamSorAPIv2/api2/openapi.json -g java -o  namsor/client/java
+java -jar modules/openapi-generator-cli/target/openapi-generator-cli.jar generate --git-repo-id namsor-java-sdk2 --git-user-id namsor --artifact-version 2.0.14 --group-id com.namsor --artifact-id namsor-sdk2 --invoker-package com.namsor.sdk2.invoke --model-package com.namsor.sdk2.model --api-package com.namsor.sdk2.api -i https://v2.namsor.com/NamSorAPIv2/api2/openapi.json -g java -o  namsor/client/java
 cd ./namsor/client/java/
 mvn clean package
 cd target

src/main/java/com/namsor/sdk2/api/AdminApi.java

@@ -1,8 +1,8 @@
 /*
  * NamSor API v2
- * NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
+ * NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
  *
- * OpenAPI spec version: 2.0.13
+ * OpenAPI spec version: 2.0.14
  * Contact: [email protected]
  *
  * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).

src/main/java/com/namsor/sdk2/api/ChineseApi.java

@@ -1,8 +1,8 @@
 /*
  * NamSor API v2
- * NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
+ * NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
  *
- * OpenAPI spec version: 2.0.13
+ * OpenAPI spec version: 2.0.14
  * Contact: [email protected]
  *
  * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).

src/main/java/com/namsor/sdk2/api/GeneralApi.java

@@ -1,8 +1,8 @@
 /*
  * NamSor API v2
- * NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
+ * NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it! 
  *
- * OpenAPI spec version: 2.0.13
+ * OpenAPI spec version: 2.0.14
  * Contact: [email protected]
  *
  * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).