## Prerequisites

Configure and install casdoor server by following [Casdoor Server Installation](https://casdoor.org/docs/basic/server-installation).
For a quick installation, docker-compose reference configs are also available on the [Casdoor Try with Docker](https://casdoor.org/docs/basic/try-with-docker).

### Configure Casdoor

- Go to Applications
  - Create or use an existing Casdoor application
  - Edit the application

							endpoints[i].Hostname()), endpoints[i].Hostname(), logger.ErrorKind)
					}

					continue
				}

				// return err if not Docker or Kubernetes
				// We use IsDocker() to check for Docker environment
				// We use IsKubernetes() to check for Kubernetes environment
				isLocal, err := isLocalHost(endpoints[i].Hostname(),
					endpoints[i].Port(),
					globalMinioPort,
				)

     * During certain lifecycle phases, particularly for aggregator mojos, Maven may create
     * a forked project (a copy of the original project) to execute a subset of the lifecycle.
     * This method allows retrieving the original project that initiated the build.
     *
     * @param project the potentially forked project

# Properties used to build to the DEB package
#

# Environment file
packaging.env.file=/etc/default/fess

# Simple marker to check that properties are correctly overridden
packaging.type=deb

# Custom header for package scripts
packaging.scripts.header=#!/bin/sh${line.separator}set -e

    }

    public void test_getOverrideConfPath() {
        // Test when app type is not docker
        OptionalEntity<String> confPath = ResourceUtil.getOverrideConfPath();
        assertNotNull(confPath);
        // Should be empty when not docker app type
        if (!"docker".equalsIgnoreCase(ResourceUtil.getAppType())) {
            assertFalse(confPath.isPresent());
        }
    }

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1

	margin: 20px 0;
}

.notification {
	text-align: center;
}

ul.has-error {
	color: #dd4b39 !important;
	list-style-type: none;
	padding: 0;
}

.form-group .has-error + .form-control {
	border-color: #dd4b39 !important;
	box-shadow: none;
}

.sidebar-mini.sidebar-collapse .sidebar-search {
	display: none !important;
}

input[type="file"].form-control:not([type="file"]) {
	height: 0% !important;

      ajaxinfo: {
        url: contextPath + "/api/v1/suggest-words",
        fn: ["_default", "content", "title"],
        num: 10,
        lang: $("#langSearchOption").val()
      },
      boxCssInfo: {
        border: "1px solid rgba(82, 168, 236, 0.5)",
        "-webkit-box-shadow":
          "0 1px 1px 0px rgba(0, 0, 0, 0.1), 0 3px 2px 0px rgba(82, 168, 236, 0.2)",
        "-moz-box-shadow":

gostaria de fazer um curso avançado-iniciante para complementar essa seção da documentação, você pode querer conferir: <a href="https://testdriven.io/courses/tdd-fastapi/" class="external-link" target="_blank">Test-Driven Development com FastAPI e Docker</a> por **TestDriven.io**.

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WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML