Fixed typo

navi/thrift_bpr_adapter/thrift/src/decoder.rs

@@ -8,7 +8,7 @@ enum FeatureVal {
 
 // A Feture has a name and a value
 // The name for now is 'id' of type string
-// Eventually this needs to be flexible - example to accomodate feature-id
+// Eventually this needs to be flexible - example to accommodate feature-id
 struct Feature {
   id: String,
   val: FeatureVal,

src/java/com/twitter/search/earlybird/exception/CriticalExceptionHandler.java

@@ -101,7 +101,7 @@ public class CriticalExceptionHandler {
         try {
           Thread.sleep(3 * 60 * 1000);
         } catch (InterruptedException e) {
-          LOG.error(FATAL, "interupted sleep while shutting down.");
+          LOG.error(FATAL, "interrupted sleep while shutting down.");
         }
         LOG.info("Terminate JVM.");
         //CHECKSTYLE:OFF RegexpSinglelineJava

src/java/com/twitter/search/earlybird/partition/SimpleStreamIndexer.java

@@ -175,7 +175,7 @@ public abstract class SimpleStreamIndexer<K, V> {
 
   protected abstract void validateAndIndexRecord(ConsumerRecord<K, V> record);
 
-  // Shutdown hook which can be called from a seperate thread. Calling consumer.wakeup() interrupts
+  // Shutdown hook which can be called from a separate thread. Calling consumer.wakeup() interrupts
   // the running indexer and causes it to first stop polling for new records before gracefully
   // closing the consumer.
   public void close() {

src/java/com/twitter/search/earlybird/queryparser/HighFrequencyTermPairExtractor.java

@@ -31,7 +31,7 @@ import com.twitter.search.queryparser.query.annotation.Annotation;
  * opposite value of isPositive of the parent group.
  *
  * I'll try to break it down a bit further. Let's assume "a" and "b" are hf terms, and '
- * "[hf_term_pair a b]" represents querying their co-occurence.
+ * "[hf_term_pair a b]" represents querying their co-occurrence.
  * Query (* a b not_hf) can become (* [hf_term_pair a b] not_hf)
  * Query (+ -a -b -not_hf) can become (+ -[hf_term_pair a b] -not_hf)
  * These two rules represent the bulk of the rewrites that this class makes.

src/thrift/com/twitter/simclusters_v2/abuse.thrift

@@ -29,7 +29,7 @@ struct AdhocSingleSideClusterScores {
 * we implement will use search abuse reports and impressions. We can build stores for new values
 * in the future.
 *
-* The consumer creates the interactions which the author recieves.  For instance, the consumer
+* The consumer creates the interactions which the author receives.  For instance, the consumer
 * creates an abuse report for an author. The consumer scores are related to the interation creation
 * behavior of the consumer. The author scores are related to the whether the author receives these
 * interactions.

twml/twml/argument_parser.py

@@ -411,7 +411,7 @@ def get_trainer_parser():
     action=parse_comma_separated_list(element_type=float),
     default=None,
     help="Required for 'piecewise_constant_values' learning_rate_decay. "
-         "A list of comma seperated floats or ints that specifies the values "
+         "A list of comma separated floats or ints that specifies the values "
          "for the intervals defined by boundaries. It should have one more "
          "element than boundaries.")
   parser_piecewise_constant.add_argument(
@@ -419,7 +419,7 @@ def get_trainer_parser():
     action=parse_comma_separated_list(element_type=int),
     default=None,
     help="Required for 'piecewise_constant_values' learning_rate_decay. "
-         "A list of comma seperated integers, with strictly increasing entries.")
+         "A list of comma separated integers, with strictly increasing entries.")
 
   # Create the parser for the "inverse_learning_rate_decay_fn"
   parser_inverse = subparsers.add_parser('inverse_learning_rate_decay',

twml/twml/contrib/trainers/trainer_utils.py

@@ -56,7 +56,7 @@ def build_keras_trainer(
     metrics_fn: metrics function used by TensorFlow estimators.
     Defaults to twml.metrics.get_binary_class_metric_fn().
 
-    **kwargs: for people familiar with twml Trainer's options, they can be passed in here
+    **kwargs: for people familar with twml Trainer's options, they can be passed in here
       as kwargs, and they will be forwarded to Trainer as opts.
       See https://cgit.twitter.biz/source/tree/twml/twml/argument_parser.py#n43 for available args.