本文整理匯總了Python中pants.backend.jvm.tasks.jvm_compile.jvm_dependency_analyzer.JvmDependencyAnalyzer.prepare方法的典型用法代碼示例。如果您正苦於以下問題：Python JvmDependencyAnalyzer.prepare方法的具體用法？Python JvmDependencyAnalyzer.prepare怎麽用？Python JvmDependencyAnalyzer.prepare使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pants.backend.jvm.tasks.jvm_compile.jvm_dependency_analyzer.JvmDependencyAnalyzer的用法示例。
在下文中一共展示了JvmDependencyAnalyzer.prepare方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: prepare
# 需要導入模塊: from pants.backend.jvm.tasks.jvm_compile.jvm_dependency_analyzer import JvmDependencyAnalyzer [as 別名]
# 或者: from pants.backend.jvm.tasks.jvm_compile.jvm_dependency_analyzer.JvmDependencyAnalyzer import prepare [as 別名]
def prepare(cls, options, round_manager):
super(JvmCompile, cls).prepare(options, round_manager)
# This task uses JvmDependencyAnalyzer as a helper, get its product needs
JvmDependencyAnalyzer.prepare(options, round_manager)
round_manager.require_data('compile_classpath')
round_manager.require_data('ivy_resolve_symlink_map')
# Require codegen we care about
# TODO(John Sirois): roll this up in Task - if the list of labels we care about for a target
# predicate to filter the full build graph is exposed, the requirement can be made automatic
# and in turn codegen tasks could denote the labels they produce automating wiring of the
# produce side
round_manager.require_data('java')
round_manager.require_data('scala')
# Allow the deferred_sources_mapping to take place first
round_manager.require_data('deferred_sources')