If you have ever mistakenly added a word to the Brave browser dictionary,
you need to manually edit the Custom Dictionary.txt file.
As of March 2020, the Brave UI lacks a feature to do this.
This will depend on your OS. Google for where this is on your OS.
The file on macOS is at: ~/Library/Application\ Support/BraveSoftware/Brave-Browser/Default/Custom\ Dictionary.txt.
Past August 2024, Authy stopped supported the desktop version of their apps:
See Authy is shutting down its desktop app | The 2FA app Authy will only be available on Android and iOS starting in August for details.
And indeed, after a while, Authy changed something in their backend which now prevents the old desktop app from logging in. If you are already logged in, then you are in luck, and you can follow the instructions below to export your tokens.
If you are not logged in anymore, but can find a backup of the necessary files, then restore those files, and re-install Authy 2.2.3 following the instructions below, and it should work as expected.
| // Inspired by https://gist.github.com/abesto/cdcdd38263eacf1cbb51 | |
| // Task creates a .dot file with all inter-module dependencies | |
| // Supports any depth of nested modules | |
| task moduleDependencyReport { | |
| doLast { | |
| def file = new File("project-dependencies.dot") | |
| file.delete() | |
| file << "digraph {\n" | |
| file << "splines=ortho\n" |
| /** | |
| * This file contains the core idea of wrapping an underlying OutputFormat with an OutputFormat | |
| * with an augmented key that writes to partitions using MultipleOutputs (or something similar) | |
| */ | |
| package model.hadoop | |
| import model.hadoop.HadoopIO.MultipleOutputer | |
| import model.hadoop.HadoopIO.MultipleOutputer._ | |
| import org.apache.hadoop.io.{DataInputBuffer, NullWritable} |
| /* Example using MultipleOutputs to write a Spark RDD to multiples files. | |
| Based on saveAsNewAPIHadoopFile implemented in org.apache.spark.rdd.PairRDDFunctions, org.apache.hadoop.mapreduce.SparkHadoopMapReduceUtil. | |
| val values = sc.parallelize(List( | |
| ("fruit/items", "apple"), | |
| ("vegetable/items", "broccoli"), | |
| ("fruit/items", "pear"), | |
| ("fruit/items", "peach"), | |
| ("vegetable/items", "celery"), | |
| ("vegetable/items", "spinach") |
| import org.apache.maven.shared.dependency.analyzer.ClassAnalyzer | |
| import org.apache.maven.shared.dependency.analyzer.DefaultClassAnalyzer | |
| import org.apache.maven.shared.dependency.analyzer.DependencyAnalyzer | |
| import org.apache.maven.shared.dependency.analyzer.ProjectDependencyAnalysis | |
| import org.apache.maven.shared.dependency.analyzer.asm.ASMDependencyAnalyzer | |
| import org.gradle.api.Project | |
| import org.gradle.api.artifacts.ConfigurationContainer | |
| import org.gradle.api.artifacts.ResolvedArtifact | |
| import org.gradle.api.artifacts.ResolvedDependency |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |