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clients/google-api-services-firebaseml/v2beta/2.0.0/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-firebaseml</artifactId>
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<version>v2beta-rev20260301-2.0.0</version>
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<version>v2beta-rev20260303-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-firebaseml:v2beta-rev20260301-2.0.0'
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implementation 'com.google.apis:google-api-services-firebaseml:v2beta-rev20260303-2.0.0'
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}
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```
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clients/google-api-services-firebaseml/v2beta/2.0.0/com/google/api/services/firebaseml/v2beta/model/GoogleCloudAiplatformV1beta1CodeExecutionResult.java

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package com.google.api.services.firebaseml.v2beta.model;
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/**
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* Result of executing the [ExecutableCode]. Only generated when using the [CodeExecution] tool, and
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* always follows a `part` containing the [ExecutableCode].
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* Result of executing the ExecutableCode. Generated only when the `CodeExecution` tool is used.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Firebase ML API. For a detailed explanation see:

clients/google-api-services-firebaseml/v2beta/2.0.0/com/google/api/services/firebaseml/v2beta/model/GoogleCloudAiplatformV1beta1ExecutableCode.java

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/**
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* Code generated by the model that is meant to be executed, and the result returned to the model.
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* Generated when using the [CodeExecution] tool, in which the code will be automatically executed,
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* and a corresponding [CodeExecutionResult] will also be generated.
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* Generated when using the `CodeExecution` tool, in which the code will be automatically executed,
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* and a corresponding CodeExecutionResult will also be generated.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Firebase ML API. For a detailed explanation see:

clients/google-api-services-firebaseml/v2beta/2.0.0/com/google/api/services/firebaseml/v2beta/model/GoogleCloudAiplatformV1beta1FunctionCall.java

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package com.google.api.services.firebaseml.v2beta.model;
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/**
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* A predicted [FunctionCall] returned from the model that contains a string representing the
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* [FunctionDeclaration.name] and a structured JSON object containing the parameters and their
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* values.
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* A predicted FunctionCall returned from the model that contains a string representing the
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* FunctionDeclaration.name and a structured JSON object containing the parameters and their values.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Firebase ML API. For a detailed explanation see:
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/**
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* Optional. The function parameters and values in JSON object format. See
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* [FunctionDeclaration.parameters] for parameter details.
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* FunctionDeclaration.parameters for parameter details.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String id;
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/**
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* Optional. The name of the function to call. Matches [FunctionDeclaration.name].
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* Optional. The name of the function to call. Matches FunctionDeclaration.name.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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/**
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* Optional. The function parameters and values in JSON object format. See
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* [FunctionDeclaration.parameters] for parameter details.
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* FunctionDeclaration.parameters for parameter details.
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* @return value or {@code null} for none
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*/
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public java.util.Map<String, java.lang.Object> getArgs() {
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/**
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* Optional. The function parameters and values in JSON object format. See
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* [FunctionDeclaration.parameters] for parameter details.
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* FunctionDeclaration.parameters for parameter details.
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* @param args args or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1FunctionCall setArgs(java.util.Map<String, java.lang.Object> args) {
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}
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/**
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* Optional. The name of the function to call. Matches [FunctionDeclaration.name].
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* Optional. The name of the function to call. Matches FunctionDeclaration.name.
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* @return value or {@code null} for none
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*/
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public java.lang.String getName() {
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return name;
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}
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/**
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* Optional. The name of the function to call. Matches [FunctionDeclaration.name].
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* Optional. The name of the function to call. Matches FunctionDeclaration.name.
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* @param name name or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1FunctionCall setName(java.lang.String name) {

clients/google-api-services-firebaseml/v2beta/2.0.0/com/google/api/services/firebaseml/v2beta/model/GoogleCloudAiplatformV1beta1FunctionCallingConfig.java

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@@ -31,8 +31,8 @@ public final class GoogleCloudAiplatformV1beta1FunctionCallingConfig extends com
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/**
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* Optional. Function names to call. Only set when the Mode is ANY. Function names should match
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* [FunctionDeclaration.name]. With mode set to ANY, model will predict a function call from the
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* set of function names provided.
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* FunctionDeclaration.name. With mode set to ANY, model will predict a function call from the set
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* of function names provided.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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/**
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* Optional. When set to true, arguments of a single function call will be streamed out in
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* multiple parts/contents/responses. Partial parameter results will be returned in the
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* [FunctionCall.partial_args] field.
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* `FunctionCall.partial_args` field.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.Boolean streamFunctionCallArguments;
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/**
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* Optional. Function names to call. Only set when the Mode is ANY. Function names should match
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* [FunctionDeclaration.name]. With mode set to ANY, model will predict a function call from the
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* set of function names provided.
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* FunctionDeclaration.name. With mode set to ANY, model will predict a function call from the set
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* of function names provided.
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* @return value or {@code null} for none
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*/
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public java.util.List<java.lang.String> getAllowedFunctionNames() {
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/**
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* Optional. Function names to call. Only set when the Mode is ANY. Function names should match
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* [FunctionDeclaration.name]. With mode set to ANY, model will predict a function call from the
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* set of function names provided.
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* FunctionDeclaration.name. With mode set to ANY, model will predict a function call from the set
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* of function names provided.
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* @param allowedFunctionNames allowedFunctionNames or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1FunctionCallingConfig setAllowedFunctionNames(java.util.List<java.lang.String> allowedFunctionNames) {
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/**
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* Optional. When set to true, arguments of a single function call will be streamed out in
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* multiple parts/contents/responses. Partial parameter results will be returned in the
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* [FunctionCall.partial_args] field.
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* `FunctionCall.partial_args` field.
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* @return value or {@code null} for none
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*/
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public java.lang.Boolean getStreamFunctionCallArguments() {
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/**
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* Optional. When set to true, arguments of a single function call will be streamed out in
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* multiple parts/contents/responses. Partial parameter results will be returned in the
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* [FunctionCall.partial_args] field.
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* `FunctionCall.partial_args` field.
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* @param streamFunctionCallArguments streamFunctionCallArguments or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1FunctionCallingConfig setStreamFunctionCallArguments(java.lang.Boolean streamFunctionCallArguments) {

clients/google-api-services-firebaseml/v2beta/2.0.0/com/google/api/services/firebaseml/v2beta/model/GoogleCloudAiplatformV1beta1FunctionResponse.java

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package com.google.api.services.firebaseml.v2beta.model;
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/**
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* The result output from a [FunctionCall] that contains a string representing the
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* [FunctionDeclaration.name] and a structured JSON object containing any output from the function
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* is used as context to the model. This should contain the result of a [FunctionCall] made based on
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* The result output from a FunctionCall that contains a string representing the
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* FunctionDeclaration.name and a structured JSON object containing any output from the function is
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* used as context to the model. This should contain the result of a `FunctionCall` made based on
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* model prediction.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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private java.lang.String id;
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/**
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* Required. The name of the function to call. Matches [FunctionDeclaration.name] and
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* [FunctionCall.name].
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* Required. The name of the function to call. Matches FunctionDeclaration.name and
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* FunctionCall.name.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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}
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/**
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* Required. The name of the function to call. Matches [FunctionDeclaration.name] and
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* [FunctionCall.name].
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* Required. The name of the function to call. Matches FunctionDeclaration.name and
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* FunctionCall.name.
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* @return value or {@code null} for none
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*/
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public java.lang.String getName() {
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}
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/**
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* Required. The name of the function to call. Matches [FunctionDeclaration.name] and
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* [FunctionCall.name].
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* Required. The name of the function to call. Matches FunctionDeclaration.name and
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* FunctionCall.name.
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* @param name name or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1FunctionResponse setName(java.lang.String name) {

clients/google-api-services-firebaseml/v2beta/2.0.0/com/google/api/services/firebaseml/v2beta/model/GoogleCloudAiplatformV1beta1ToolCodeExecution.java

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/**
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* Tool that executes code generated by the model, and automatically returns the result to the
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* model. See also [ExecutableCode]and [CodeExecutionResult] which are input and output to this
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* tool.
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* model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Firebase ML API. For a detailed explanation see:

clients/google-api-services-firebaseml/v2beta/2.0.0/pom.xml

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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-firebaseml</artifactId>
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<version>v2beta-rev20260301-2.0.0</version>
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<name>Firebase ML API v2beta-rev20260301-2.0.0</name>
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<version>v2beta-rev20260303-2.0.0</version>
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<name>Firebase ML API v2beta-rev20260303-2.0.0</name>
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<packaging>jar</packaging>
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<inceptionYear>2011</inceptionYear>

clients/google-api-services-firebaseml/v2beta/README.md

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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-firebaseml</artifactId>
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<version>v2beta-rev20260301-2.0.0</version>
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<version>v2beta-rev20260303-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-firebaseml:v2beta-rev20260301-2.0.0'
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implementation 'com.google.apis:google-api-services-firebaseml:v2beta-rev20260303-2.0.0'
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}
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```
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