"projecta",
                        "projectb"
                    ]
                }
            }
        }
    ]
}`

	policyProjectsMap = map[string]string{
		// grants access to bucket `projecta` if user is in group `projecta`
		"projecta": policyProjectA,

		// grants access to bucket `projectb` if user is in group `projectb`

                // only allow ${basedir}, ${project.basedir} or ${project.baseUri}
                Matcher m = EXPRESSION_NAME_PATTERN.matcher(repository.getUrl());
                while (m.find()) {
                    if (!("basedir".equals(m.group(1))
                            || "project.basedir".equals(m.group(1))
                            || "project.baseUri".equals(m.group(1)))) {

								<path>${project.build.directory}/fess/WEB-INF/classes/fess_config.properties</path>
								<path>${project.build.directory}/fess/WEB-INF/classes/fess_env_crawler.properties</path>
								<path>${project.build.directory}/fess/WEB-INF/classes/fess_env_suggest.properties</path>
								<path>${project.build.directory}/fess/WEB-INF/classes/fess_env_thumbnail.properties</path>

# Python config is the same across all containers because the binary is the same
build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# TODO(kanglan): Remove it after toolchain update is complete.
build:rbe_linux_cpu_old --config=rbe_linux

     * {@code :artifactId} if there is no conflict.
     * This method is made package-private for testing purposes.
     *
     * @param mavenProjects Maven projects which are part of build execution.
     * @param firstFailedProject The first project which has failed.
     * @return Value for -rf flag to resume build exactly from place where it failed ({@code :artifactId} in general

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [

        return rawChildModelVersion.equals("${pom.version}")
                || rawChildModelVersion.equals("${project.version}")
                || rawChildModelVersion.equals("${pom.parent.version}")
                || rawChildModelVersion.equals("${project.parent.version}");
    }

    private ModelSource2 getParentPomFile(Model childModel, Source source) {

				"application/vnd.ms-powerpoint.slide.macroenabled.12",
				"application/vnd.ms-powerpoint.slideshow.macroenabled.12",
				"application/vnd.ms-powerpoint.template.macroenabled.12",
				"application/vnd.ms-project",
				"application/x-project",
				"application/vnd.ms-tnef",
				"application/vnd.ms-wmdrm.lic-chlg-req",
				"application/vnd.ms-wmdrm.lic-resp",
				"application/vnd.ms-wmdrm.meter-chlg-req",

getZipFile(); } org/apache/maven/wrapper/PathAssembler.class package org.apache.maven.wrapper; public synchronized class PathAssembler { public static final String MAVEN_USER_HOME_STRING = MAVEN_USER_HOME; public static final String PROJECT_STRING = PROJECT; private java.io.File mavenUserHome; public void PathAssembler(); public void PathAssembler(java.io.File); public PathAssembler$LocalDistribution getDistribution(WrapperConfiguration); private String rootDirName(String, WrapperConfiguration); private...

/*
 * Copyright 2012-2024 CodeLibs Project and the Others.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,