Question

我试图通过插入日志消息来调试JNI C函数，但我无法使其工作。我尝试了一切，但我有这个错误：

Error:(61) undefined reference to `__android_log_write'

在这一行：__android_log_write(prio, sTag, buf);

这是我的android.mk：

LOCAL_PATH := $(call my-dir)
include $(CLEAR_VARS)
# Here we give our module name and source file(s)
LOCAL_MODULE    := engine
LOCAL_SRC_FILES := engine.c common.c effiindexb.c alertsmanager.c
LOCAL_CFLAGS += -std=c99
#APP_CFLAGS += -std=c99
LOCAL_LDLIBS :=  -llog
include $(BUILD_SHARED_LIBRARY)

我有两个文件.gradle，这是第一个：

apply plugin: 'com.android.model.application'

model {
android {
    compileSdkVersion = 23
    buildToolsVersion = "23.0.2"

    defaultConfig {
        applicationId = "com.effidriver"
        minSdkVersion.apiLevel = 16
        targetSdkVersion.apiLevel = 23

    }
    ndk {
        moduleName "engine"
        toolchain = 'clang'
        CFlags.addAll(['-Wall'])
    }

    buildTypes {
        release {
            minifyEnabled = false
            proguardFiles.add(file('proguard-rules.txt'))
        }
    }

    productFlavors {

        create("arm") {
            ndk.abiFilters.add("armeabi")
        }
        create("arm7") {
            ndk.abiFilters.add("armeabi-v7a")
        }
        create("arm8") {
            ndk.abiFilters.add("arm64-v8a")
        }
        create("x86") {
            ndk.abiFilters.add("x86")
        }
        create("x86-64") {
            ndk.abiFilters.add("x86_64")
        }
        create("mips") {
            ndk.abiFilters.add("mips")
        }
        create("mips-64") {
            ndk.abiFilters.add("mips64")
        }
        // To include all cpu architectures, leaves abiFilters empty
        create("all")
    }
   }
   }

dependencies {
compile project(':library')
compile 'com.android.support:support-v4:23.3.0'
compile 'com.google.code.gson:gson:2.3.1'
compile 'com.google.code.gson:gson:2.2.4'
compile files('libs/TestFlightLib.jar')
compile project(path: ':library')
compile project(path: ':library')
}

这是seconde .gradle：

apply plugin: 'com.android.model.library'

model {
android {
    compileSdkVersion = 'Google Inc.:Google APIs:17'
    buildToolsVersion = "24.0.0 rc3"

    defaultConfig {
        minSdkVersion.apiLevel = 16
        targetSdkVersion.apiLevel = 23
    }

    buildTypes {
        release {
            minifyEnabled = false
            proguardFiles.add(file('proguard-rules.txt'))
        }
    }
}
}

dependencies {
   compile 'com.android.support:support-v4:23.0.0'
}

我正在使用gradle experimental。classpath 'com.android.tools.build:gradle-experimental:0.7.0'

我真的在网上搜索，我没有得到一个好的解决方案，希望我能在这里找到... Thanx！

Answer 1

像这样修改你的模块gradle文件ndk块并尝试：

library(microbenchmark)
library(dplyr)
library(data.table)

poo <- read.table(text = '
     TRIAL_INDEX     RIGHT_PUPIL_SIZE
          1                 10
          1                  8
          1                  6
          1                  4
          1                 NA
          2                  1
          2                  2
          2                 NA
          2                  4
          2                  5
', header = TRUE, stringsAsFactors = FALSE, na.strings = "NA")

tapply.function <- function(x) {

     my.summary <- as.data.frame(do.call("rbind", 
                   tapply(poo$RIGHT_PUPIL_SIZE, poo$TRIAL_INDEX, 
                   function(x) c(index.mean = mean(x, na.rm = TRUE),
                                   index.sd =   sd(x, na.rm = TRUE)))))

     my.summary$TRIAL_INDEX <- rownames(my.summary)

     poo2 <- merge(poo, my.summary, by = 'TRIAL_INDEX')

     return(poo2)

}

str(tapply.function(poo))

aggregate.function <- function(x) {

     my.summary <- with(poo, aggregate(RIGHT_PUPIL_SIZE, by = list(TRIAL_INDEX), 
                        FUN = function(x) {c( index.mean = mean(x, na.rm = TRUE), 
                                              index.sd   =   sd(x, na.rm = TRUE))}))

     my.summary <- do.call(data.frame, my.summary)

     colnames(my.summary) <- c('TRIAL_INDEX', 'index.mean', 'index.sd')

     poo2 <- merge(poo, my.summary, by = 'TRIAL_INDEX')

     return(poo2)

}

str(aggregate.function(poo))

ave.function <- function(x) {

     index.mean <- ave(poo$RIGHT_PUPIL_SIZE, poo$TRIAL_INDEX, FUN = function(x) mean(x, na.rm = TRUE))
     index.sd   <- ave(poo$RIGHT_PUPIL_SIZE, poo$TRIAL_INDEX, FUN = function(x)   sd(x, na.rm = TRUE))

     poo2 <- data.frame(poo, index.mean, index.sd)

     return(poo2)

}

str(ave.function(poo))

dplyr.function <- function(x) {

     my.summary <- poo %>%
         group_by(TRIAL_INDEX) %>% 
         summarise(index.mean = mean(RIGHT_PUPIL_SIZE, na.rm = TRUE),
                     index.sd =   sd(RIGHT_PUPIL_SIZE, na.rm = TRUE))

     poo2 <- merge(poo, as.data.frame(my.summary), by = 'TRIAL_INDEX')

     return(poo2)

}

str(dplyr.function(poo))

data.table.function <- function(x) {

     my.summary <- data.frame(setDT(poo)[, .(index.mean = mean(RIGHT_PUPIL_SIZE, na.rm = TRUE), 
                                               index.sd =   sd(RIGHT_PUPIL_SIZE, na.rm = TRUE)),
                          .(TRIAL_INDEX)])

     poo2 <- merge(poo, my.summary, by = 'TRIAL_INDEX')

     return(poo2)

}

str(data.table.function(poo))

# this does not work
microbenchmark(    tapply.function(poo),
                aggregate.function(poo),
                      ave.function(poo),
                    dplyr.function(poo), 
               data.table.function(poo), times = 1000)

错误:(）未定义对`__android_log_write＆＃39;的引用错误？

1 个答案: