Motivation When writing app you sometimes want to play some sounds e.g. for notifications. In Android this can be accomplished by using the SoundPool class. Resource files Resource files e.g. your wav shall be placed under app\src\main\res\raw Code snippet This is a working example for playing short sound files. If you want to make a…
If you get an Installation did not succeed. The application could not be installed: INSTALL_PARSE_FAILED_INCONSISTENT_CERTIFICATES do the following: go to Settings -> General -> Apps select your app tap uninstall
Disconnect USB connection between Mac/MacBook and Android device On the device: Revoke USB debugging authorization in Settings -> Developer Options cd /Users/<user_name>/Library/Android/sdk/platform-tools ./adb kill-server cd ~/.android/ rm -rf adbkey Reconnect device Re-authorize computer to device cd /Users/<user_name>/Library/Android/sdk/platform-tools check with ./adb devices that device is authorized
In Log4j2 for Kotlin I’ve showed you how to configure a basic logger with log4j2. If you use a PatternLayout like this
Motivation Logging is a common good practice in software engineering. It enables you to monitor applications in production to gather information about crashes and other malfunctions for further analysis. It is the “little brother” of debugging and often a precursor for setting up test cases which can lead to reproducing the bugs on the developers…
If you are using Gradle and you want to run a Kotlin script you have to add the following to your build.gradle file dependencies { implementation “org.jetbrains.kotlin:kotlin-stdlib” implementation ‘org.jetbrains.kotlin:kotlin-script-runtime:1.4.32’ }
Primer: Arguments vs Parameters I’m sometimes confused. Is it an argument or a parameter? So here it goes: A parameter is a variable in a function definition. When a function is called, the arguments are the data you pass into the function’s parameters. The same goes for a program: A program has parameters, you call…
Motivation In Android it is highly inadvisable to do heavy lifting in the UI thread. When you even try to do some networking stuff like fetching images from a web server you might get an android.os.NetworkOnMainThreadException I’ve also written about it here To work around this issue you can use a third party library like…
from sklearn.model_selection import KFold kf = KFold(n_splits=2) kf.split(df_train) step = 0 # set counter to 0 for train_index, val_index in kf.split(df_train): # for each fold step = step + 1 # update counter print(‘Step ‘, step) features_fold_train = df_train.iloc[train_index, [4, 5]] # features matrix of training data (of this step) features_fold_val = df_train.iloc[val_index, [4, 5]]…
Having your tests in place after reading pytest Tutorial – Part 1 and pytest Tutorial – Part 2 you certainly want to know how much of your code is actually tested by your tests. This is called coverage. Installation pip install pytest-cov Checking the coverage