Android中的android.provider.Settings.System系统属性设定

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Android Settings和SettingsProvider源码分析与修改，Android外包是如何转正网易的 由于本文罗列的知识点是根据我自身总结出来的，并且由于本人水平有限，无法全部提及，欢迎大神们能补充~将来我会对上面的知识点一个一个深入学习，也希望有童鞋跟我一起学习，一起进阶。提升架构认知不是一蹴而就的，它离不开刻意学习和思考。**这里，笔者分享一份从架构哲学的层面来剖析的视频及资料分享给大家，**梳理了多年的架构经验，筹备近1个月最新录制的，相信这份视频能给你带来不一样的启发、收获。，第一时间获取最新知识点Android架构师之路很漫长，一起共勉吧！ 阅读详情

Content Provider中的Setting.System表格内存储了很多系统属性的值，以键值对的形式存在！

可以对如下的变量进行设置

Constants
StringACCELEROMETER_ROTATIONControl whether the accelerometer will be used to change screen orientation.
StringADB_ENABLEDThis constant is deprecated. Use ADB_ENABLED instead
StringAIRPLANE_MODE_ONWhether Airplane Mode is on.
StringAIRPLANE_MODE_RADIOSA comma separated list of radios that need to be disabled when airplane mode is on.
StringALARM_ALERTPersistent store for the system-wide default alarm alert.
StringALWAYS_FINISH_ACTIVITIESIf 1, the activity manager will aggressively finish activities and processes as soon as they are no longer needed.
StringANDROID_IDThis constant is deprecated. Use ANDROID_ID instead
StringAPPEND_FOR_LAST_AUDIBLEAppended to various volume related settings to record the previous values before they the settings were affected by a silent/vibrate ringer mode change.
StringAUTO_TIMEValue to specify if the user prefers the date, time and time zone to be automatically fetched from the network (NITZ).
StringAUTO_TIME_ZONEValue to specify if the user prefers the time zone to be automatically fetched from the network (NITZ).
StringBLUETOOTH_DISCOVERABILITYDetermines whether remote devices may discover and/or connect to this device.
StringBLUETOOTH_DISCOVERABILITY_TIMEOUTBluetooth discoverability timeout.
StringBLUETOOTH_ONThis constant is deprecated. Use BLUETOOTH_ON instead
StringDATA_ROAMINGThis constant is deprecated. Use DATA_ROAMING instead
StringDATE_FORMATDate format string mm/dd/yyyy dd/mm/yyyy yyyy/mm/dd
StringDEBUG_APPName of an application package to be debugged.
StringDEVICE_PROVISIONEDThis constant is deprecated. Use DEVICE_PROVISIONED instead
StringDIM_SCREENWhether or not to dim the screen.
StringDTMF_TONE_WHEN_DIALINGWhether the audible DTMF tones are played by the dialer when dialing.
StringEND_BUTTON_BEHAVIORWhat happens when the user presses the end call button if they're not on a call.
StringFONT_SCALEScaling factor for fonts, float.
StringHAPTIC_FEEDBACK_ENABLEDWhether the haptic feedback (long presses, ...) are enabled.
StringHTTP_PROXYThis constant is deprecated. Use HTTP_PROXY instead
StringINSTALL_NON_MARKET_APPSThis constant is deprecated. Use INSTALL_NON_MARKET_APPS instead
StringLOCATION_PROVIDERS_ALLOWEDThis constant is deprecated. Use LOCATION_PROVIDERS_ALLOWED instead
StringLOCK_PATTERN_ENABLEDThis constant is deprecated. Use LOCK_PATTERN_ENABLED instead
StringLOCK_PATTERN_TACTILE_FEEDBACK_ENABLEDThis constant is deprecated. Use LOCK_PATTERN_TACTILE_FEEDBACK_ENABLED instead
StringLOCK_PATTERN_VISIBLEThis constant is deprecated. Use LOCK_PATTERN_VISIBLE instead
StringLOGGING_IDThis constant is deprecated. Use LOGGING_ID instead
StringMODE_RINGERRinger mode.
StringMODE_RINGER_STREAMS_AFFECTEDDetermines which streams are affected by ringer mode changes.
StringMUTE_STREAMS_AFFECTEDDetermines which streams are affected by mute.
StringNETWORK_PREFERENCEThis constant is deprecated. Use NETWORK_PREFERENCE instead
StringNEXT_ALARM_FORMATTEDA formatted string of the next alarm that is set, or the empty string if there is no alarm set.
StringNOTIFICATION_SOUNDPersistent store for the system-wide default notification sound.
StringPARENTAL_CONTROL_ENABLEDThis constant is deprecated. Use PARENTAL_CONTROL_ENABLED instead
StringPARENTAL_CONTROL_LAST_UPDATEThis constant is deprecated. Use PARENTAL_CONTROL_LAST_UPDATE instead
StringPARENTAL_CONTROL_REDIRECT_URLThis constant is deprecated. Use PARENTAL_CONTROL_REDIRECT_URL instead
StringRADIO_BLUETOOTHConstant for use in AIRPLANE_MODE_RADIOS to specify Bluetooth radio.
StringRADIO_CELLConstant for use in AIRPLANE_MODE_RADIOS to specify Cellular radio.
StringRADIO_NFCConstant for use in AIRPLANE_MODE_RADIOS to specify NFC radio.
StringRADIO_WIFIConstant for use in AIRPLANE_MODE_RADIOS to specify Wi-Fi radio.
StringRINGTONEPersistent store for the system-wide default ringtone URI.
StringSCREEN_BRIGHTNESSThe screen backlight brightness between 0 and 255.
StringSCREEN_BRIGHTNESS_MODEControl whether to enable automatic brightness mode.
intSCREEN_BRIGHTNESS_MODE_AUTOMATICSCREEN_BRIGHTNESS_MODE value for automatic mode.
intSCREEN_BRIGHTNESS_MODE_MANUALSCREEN_BRIGHTNESS_MODE value for manual mode.
StringSCREEN_OFF_TIMEOUTThe timeout before the screen turns off.
StringSETTINGS_CLASSNAMEThis constant is deprecated. Use SETTINGS_CLASSNAME instead
StringSETUP_WIZARD_HAS_RUNWhether the setup wizard has been run before (on first boot), or if it still needs to be run.
StringSHOW_GTALK_SERVICE_STATUS 
StringSHOW_PROCESSESControl whether the process CPU usage meter should be shown.
StringSHOW_WEB_SUGGESTIONSThis constant is deprecated. Each application that shows web suggestions should have its own setting for this.
StringSOUND_EFFECTS_ENABLEDWhether the sounds effects (key clicks, lid open ...) are enabled.
StringSTAY_ON_WHILE_PLUGGED_INWhether we keep the device on while the device is plugged in.
StringSYS_PROP_SETTING_VERSION 
StringTEXT_AUTO_CAPSSetting to enable Auto Caps in text editors.
StringTEXT_AUTO_PUNCTUATESetting to enable Auto Punctuate in text editors.
StringTEXT_AUTO_REPLACESetting to enable Auto Replace (AutoText) in text editors.
StringTEXT_SHOW_PASSWORDSetting to showing password characters in text editors.
StringTIME_12_24Display times as 12 or 24 hours 12 24
StringTRANSITION_ANIMATION_SCALEScaling factor for activity transition animations.
StringUSB_MASS_STORAGE_ENABLEDThis constant is deprecated. Use USB_MASS_STORAGE_ENABLED instead
StringUSER_ROTATIONDefault screen rotation when no other policy applies.
StringUSE_GOOGLE_MAILThis constant is deprecated. Use USE_GOOGLE_MAIL instead
StringVIBRATE_ONWhether vibrate is on for different events.
StringVOLUME_ALARMAlarm volume.
StringVOLUME_BLUETOOTH_SCOBluetooth Headset volume.
StringVOLUME_MUSICMusic/media/gaming volume.
StringVOLUME_NOTIFICATIONNotification volume.
StringVOLUME_RINGRinger volume.
StringVOLUME_SYSTEMSystem/notifications volume.
StringVOLUME_VOICEVoice call volume.
StringWAIT_FOR_DEBUGGERIf 1, when launching DEBUG_APP it will wait for the debugger before starting user code.
StringWALLPAPER_ACTIVITYName of activity to use for wallpaper on the home screen.
StringWIFI_MAX_DHCP_RETRY_COUNTThis constant is deprecated. Use WIFI_MAX_DHCP_RETRY_COUNT instead
StringWIFI_MOBILE_DATA_TRANSITION_WAKELOCK_TIMEOUT_MSThis constant is deprecated. Use WIFI_MOBILE_DATA_TRANSITION_WAKELOCK_TIMEOUT_MS instead
StringWIFI_NETWORKS_AVAILABLE_NOTIFICATION_ONThis constant is deprecated. Use WIFI_NETWORKS_AVAILABLE_NOTIFICATION_ON instead
StringWIFI_NETWORKS_AVAILABLE_REPEAT_DELAYThis constant is deprecated. Use WIFI_NETWORKS_AVAILABLE_REPEAT_DELAY instead
StringWIFI_NUM_OPEN_NETWORKS_KEPTThis constant is deprecated. Use WIFI_NUM_OPEN_NETWORKS_KEPT instead
StringWIFI_ONThis constant is deprecated. Use WIFI_ON instead
StringWIFI_SLEEP_POLICYThe policy for deciding when Wi-Fi should go to sleep (which will in turn switch to using the mobile data as an Internet connection).
intWIFI_SLEEP_POLICY_DEFAULTValue for WIFI_SLEEP_POLICY to use the default Wi-Fi sleep policy, which is to sleep shortly after the turning off according to the STAY_ON_WHILE_PLUGGED_IN setting.
intWIFI_SLEEP_POLICY_NEVERValue for WIFI_SLEEP_POLICY to never go to sleep.
intWIFI_SLEEP_POLICY_NEVER_WHILE_PLUGGEDValue for WIFI_SLEEP_POLICY to use the default policy when the device is on battery, and never go to sleep when the device is plugged in.
StringWIFI_STATIC_DNS1If using static IP, the primary DNS's IP address.
StringWIFI_STATIC_DNS2If using static IP, the secondary DNS's IP address.
StringWIFI_STATIC_GATEWAYIf using static IP, the gateway's IP address.
StringWIFI_STATIC_IPThe static IP address.
StringWIFI_STATIC_NETMASKIf using static IP, the net mask.
StringWIFI_USE_STATIC_IPWhether to use static IP and other static network attributes.
StringWIFI_WATCHDOG_ACCEPTABLE_PACKET_LOSS_PERCENTAGEThis constant is deprecated. Use WIFI_WATCHDOG_ACCEPTABLE_PACKET_LOSS_PERCENTAGE instead
StringWIFI_WATCHDOG_AP_COUNTThis constant is deprecated. Use WIFI_WATCHDOG_AP_COUNT instead
StringWIFI_WATCHDOG_BACKGROUND_CHECK_DELAY_MSThis constant is deprecated. Use WIFI_WATCHDOG_BACKGROUND_CHECK_DELAY_MS instead
StringWIFI_WATCHDOG_BACKGROUND_CHECK_ENABLEDThis constant is deprecated. Use WIFI_WATCHDOG_BACKGROUND_CHECK_ENABLED instead
StringWIFI_WATCHDOG_BACKGROUND_CHECK_TIMEOUT_MSThis constant is deprecated. Use WIFI_WATCHDOG_BACKGROUND_CHECK_TIMEOUT_MS instead
StringWIFI_WATCHDOG_INITIAL_IGNORED_PING_COUNTThis constant is deprecated. Use WIFI_WATCHDOG_INITIAL_IGNORED_PING_COUNT instead
StringWIFI_WATCHDOG_MAX_AP_CHECKSThis constant is deprecated. Use WIFI_WATCHDOG_MAX_AP_CHECKS instead
StringWIFI_WATCHDOG_ONThis constant is deprecated. Use WIFI_WATCHDOG_ON instead
StringWIFI_WATCHDOG_PING_COUNTThis constant is deprecated. Use WIFI_WATCHDOG_PING_COUNT instead
StringWIFI_WATCHDOG_PING_DELAY_MSThis constant is deprecated. Use WIFI_WATCHDOG_PING_DELAY_MS instead
StringWIFI_WATCHDOG_PING_TIMEOUT_MSThis constant is deprecated. Use WIFI_WATCHDOG_PING_TIMEOUT_MS instead
StringWINDOW_ANIMATION_SCALEScaling factor for normal window animations.

通过如下的函数可以对其进行读写：

static void getConfiguration( ContentResolver cr, Configuration outConfig)
Convenience function to read all of the current configuration-related settings into a Configuration object.
static float getFloat( ContentResolver cr, String name, float def)
Convenience function for retrieving a single system settings value as a floating point number.
static float getFloat( ContentResolver cr, String name)
Convenience function for retrieving a single system settings value as a float.
static int getInt( ContentResolver cr, String name)
Convenience function for retrieving a single system settings value as an integer.
static int getInt( ContentResolver cr, String name, int def)
Convenience function for retrieving a single system settings value as an integer.
static long getLong( ContentResolver cr, String name, long def)
Convenience function for retrieving a single system settings value as a long.
static long getLong( ContentResolver cr, String name)
Convenience function for retrieving a single system settings value as a long.
static boolean getShowGTalkServiceStatus( ContentResolver cr)
synchronized static String getString( ContentResolver resolver, String name)
Look up a name in the database.
static Uri getUriFor( String name)
Construct the content URI for a particular name/value pair, useful for monitoring changes with a ContentObserver.
static boolean putConfiguration( ContentResolver cr, Configuration config)
Convenience function to write a batch of configuration-related settings from a Configuration object.
static boolean putFloat( ContentResolver cr, String name, float value)
Convenience function for updating a single settings value as a floating point number.
static boolean putInt( ContentResolver cr, String name, int value)
Convenience function for updating a single settings value as an integer.
static boolean putLong( ContentResolver cr, String name, long value)
Convenience function for updating a single settings value as a long integer.
static boolean putString( ContentResolver resolver, String name, String value)
Store a name/value pair into the database.
static void setShowGTalkServiceStatus( ContentResolver cr, boolean flag)


注意，应用程序中应加入： <uses-permission android:name="android.permission.WRITE_SETTINGS" />


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版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
Android中的SettingsProvider SettingsProvider用来提供，主要用来存放一些Android系统的默认初始值。在Android 6.0版本时，SettingsProvider被重构，Android从性能、安全等方面考虑，把SettingsProvider中原本保存在settings.db中的数据，目前改为全部保存在下的对应中。用一句话概括SettingsProvider的作用，SettingsProvider包含全局性、系统级别的用户编好设置。 阅读详情

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深度学习工具包Deprecation notice.-----This toolbox is outdated and no longer maintained.There are much better tools available for deep learning than this toolbox, e.g. [Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [tensorflow](http://www.tensorflow.org/)I would suggest you use one of the tools mentioned above rather than use this toolbox.Best, Rasmus.DeepLearnToolbox================A Matlab toolbox for Deep Learning.Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data.It is inspired by the human brain's apparent deep (layered, hierarchical) architecture.A good overview of the theory of Deep Learning theory is[Learning Deep Architectures for AI](http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf)For a more informal introduction, see the following videos by Geoffrey Hinton and Andrew Ng.* [The Next Generation of Neural Networks](http://www.youtube.com/watch?v=AyzOUbkUf3M) (Hinton, 2007)* [Recent Developments in Deep Learning](http://www.youtube.com/watch?v=VdIURAu1-aU) (Hinton, 2010)* [Unsupervised Feature Learning and Deep Learning](http://www.youtube.com/watch?v=ZmNOAtZIgIk) (Ng, 2011)If you use this toolbox in your research please cite [Prediction as a candidate for learning deep hierarchical models of data](http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6284)```@MASTERSTHESIS\{IMM2012-06284, author = "R. B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. Download.2. addpath(genpath('DeepLearnToolbox'));Example: Deep Belief Network---------------------```matlabfunction test_example_DBNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit RBM and visualize its weightsrand('state',0)dbn.sizes = [100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);figure; visualize(dbn.rbm{1}.W'); % Visualize the RBM weights%% ex2 train a 100-100 hidden unit DBN and use its weights to initialize a NNrand('state',0)%train dbndbn.sizes = [100 100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);%unfold dbn to nnnn = dbnunfoldtonn(dbn, 10);nn.activation_function = 'sigm';%train nnopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.10, 'Too big error');```Example: Stacked Auto-Encoders---------------------```matlabfunction test_example_SAEload mnist_uint8;train_x = double(train_x)/255;test_x = double(test_x)/255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit SDAE and use it to initialize a FFNN% Setup and train a stacked denoising autoencoder (SDAE)rand('state',0)sae = saesetup([784 100]);sae.ae{1}.activation_function = 'sigm';sae.ae{1}.learningRate = 1;sae.ae{1}.inputZeroMaskedFraction = 0.5;opts.numepochs = 1;opts.batchsize = 100;sae = saetrain(sae, train_x, opts);visualize(sae.ae{1}.W{1}(:,2:end)')% Use the SDAE to initialize a FFNNnn = nnsetup([784 100 10]);nn.activation_function = 'sigm';nn.learningRate = 1;nn.W{1} = sae.ae{1}.W{1};% Train the FFNNopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.16, 'Too big error');```Example: Convolutional Neural Nets---------------------```matlabfunction test_example_CNNload mnist_uint8;train_x = double(reshape(train_x',28,28,60000))/255;test_x = double(reshape(test_x',28,28,10000))/255;train_y = double(train_y');test_y = double(test_y');%% ex1 Train a 6c-2s-12c-2s Convolutional neural network %will run 1 epoch in about 200 second and get around 11% error. %With 100 epochs you'll get around 1.2% errorrand('state',0)cnn.layers = { struct('type', 'i') %input layer struct('type', 'c', 'outputmaps', 6, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %sub sampling layer struct('type', 'c', 'outputmaps', 12, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %subsampling layer};cnn = cnnsetup(cnn, train_x, train_y);opts.alpha = 1;opts.batchsize = 50;opts.numepochs = 1;cnn = cnntrain(cnn, train_x, train_y, opts);[er, bad] = cnntest(cnn, test_x, test_y);%plot mean squared errorfigure; plot(cnn.rL);assert(er<0.12, 'Too big error');```Example: Neural Networks---------------------```matlabfunction test_example_NNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);% normalize[train_x, mu, sigma] = zscore(train_x);test_x = normalize(test_x, mu, sigma);%% ex1 vanilla neural netrand('state',0)nn = nnsetup([784 100 10]);opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samples[nn, L] = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.08, 'Too big error');%% ex2 neural net with L2 weight decayrand('state',0)nn = nnsetup([784 100 10]);nn.weightPenaltyL2 = 1e-4; % L2 weight decayopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex3 neural net with dropoutrand('state',0)nn = nnsetup([784 100 10]);nn.dropoutFraction = 0.5; % Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); 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