gradle.properties

#
# Copyright 2019 Andrius Baruckis www.baruckis.com
#
# 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,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Project-wide Gradle settings.
# IDE (e.g. Android Studio) users:
# Gradle settings configured through the IDE *will override*
# any settings specified in this file.
# For more details on how to configure your build environment visit
# http://www.gradle.org/docs/current/userguide/build_environment.html
# Specifies the JVM arguments used for the daemon process.
# The setting is particularly useful for tweaking memory settings.
org.gradle.jvmargs=-Xmx1536m
# When configured, Gradle will run in incubating parallel mode.
# This option should only be used with decoupled projects. More details, visit
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
# org.gradle.parallel=true
# Kotlin code style for this project: "official" or "obsolete":
kotlin.code.style=official
# Robolectric setup.
android.enableUnitTestBinaryResources=true
# When set to true, the Android plugin automatically migrates existing third-party libraries to use AndroidX
# by rewriting their binaries. The flag is false by default if it is not specified.
android.enableJetifier=true
# When set to true, the Android plugin uses the appropriate AndroidX library instead of a Support Library.
# The flag is false by default if it is not specified.
android.useAndroidX=true
# To improve the speed of builds that use kapt, you can enable the Gradle worker API for kapt tasks.
# Using the worker API lets Gradle run independent annotation processing tasks from a single project
# in parallel, which in some cases significantly decreases the execution time. However, running kapt
# with Gradle worker API enabled can result in increased memory consumption due to parallel execution.
kapt.use.worker.api=true