on:
  workflow_call:
    inputs:
      runner:
        description: 'Which runner should the workflow run on?'
        required: true
        type: string
      tfci:
        description: 'TFCI environment variable'
        required: true
        type: string

permissions:
  contents: read

jobs:
  build-and-test:
    runs-on: ${{ inputs.runner }}
    env:
      PIP_NO_CACHE_DIR: 1
    defaults:

          distribution: 'temurin'

      - name: Install Graphviz (MacOS)
        if: runner.os == 'macOS'
        run: brew install graphviz

      - name: Install Graphviz (Ubuntu)
        if: runner.os == 'Linux'
        run: sudo apt-get install graphviz

      - name: Install Graphviz (Windows)
        if: runner.os == 'Windows'
        run: choco install graphviz

      - name: Checkout maven

androidx-lint-gradle = { module = "androidx.lint:lint-gradle", version.ref = "lint-gradle" }
androidx-startup-runtime = { module = "androidx.startup:startup-runtime", version.ref = "startup-runtime" }
androidx-test-runner = { module = "androidx.test:runner", version.ref = "androidx-test-runner" }
animalsniffer-annotations = { module = "org.codehaus.mojo:animal-sniffer-annotations", version.ref = "animalsniffer-annotations" }

			<version>${log4j.version}</version>
			<scope>provided</scope>
		</dependency>
		<dependency>
			<groupId>org.codelibs.opensearch</groupId>
			<artifactId>opensearch-runner</artifactId>
			<version>${opensearch.runner.version}</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>junit</groupId>
			<artifactId>junit</artifactId>
			<version>${junit.version}</version>

                .getStatus()
                .name();
    }

    /**
     * Sets the OpenSearch runner for embedded mode.
     *
     * @param runner the OpenSearch runner instance
     */
    public void setRunner(final OpenSearchRunner runner) {
        this.runner = runner;
    }

    /**
     * Checks if the search engine is running in embedded mode.
     *

       *   `tflite::Interpreter::signature_outputs`
       *   `tflite::Interpreter::input_tensor_by_signature`
       *   `tflite::Interpreter::output_tensor_by_signature`

    *  Similarly, the following signature runner functions in the TF Lite C API are no longer considered experimental:

       *    `TfLiteInterpreterGetSignatureCount`
       *    `TfLiteInterpreterGetSignatureKey`
       *    `TfLiteInterpreterGetSignatureRunner`

* 📝 Add External Link: Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale. PR [#11633](https://github.com/tiangolo/fastapi/pull/11633) by [@ananis25](https://github.com/ananis25).