a new API for creating `Dataset`s from lists of elements.
    *   Graduated experimental APIs:
        *   [`tf.data.Dataset.counter`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#counter),
            which creates `Dataset`s of indefinite sequences of numbers.
        *   [`tf.data.Dataset.ignore_errors`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ignore_errors),

honjyo.akita.jp
hoplix.shop
hopto.me
hopto.org
hornindal.no
horokanai.hokkaido.jp
horonobe.hokkaido.jp
horse
horten.no
hosp.uk
hospital
host
hostedpi.com
hosting
hosting-cluster.nl
hostyhosting.io
hot
hotel.hu
hotel.lk
hotel.tz
hotels
hotelwithflight.com
hotmail
house
how
hoyanger.no
hoylandet.no
hr
hr.eu.org
hra.health

app = FastAPI()

counter_holder = {"counter": 0}


async def dep_counter():
    counter_holder["counter"] += 1
    return counter_holder["counter"]


async def super_dep(count: int = Depends(dep_counter)):
    return count


@app.get("/counter/")
async def get_counter(count: int = Depends(dep_counter)):
    return {"counter": count}


@app.get("/sub-counter/")
async def get_sub_counter(

While waiting and talking to your crush, from time to time, you check the number displayed on the counter to see if it's your turn already.

Then at some point, it finally is your turn. You go to the counter, get your burgers and come back to the table.

<img src="/img/async/concurrent-burgers/concurrent-burgers-06.png" class="illustration">

	for mv = range decoder.Stream() {
		if mv.Value != expected[counter].Value {
			t.Fatalf("got %v, expected: %v", mv.Value, expected[counter])
		}
		if mv.ValueType != expected[counter].ValueType {
			t.Fatalf("got %v value type, expected: %v value type", mv.ValueType, expected[counter].ValueType)
		}
		counter++
		t.Logf("depth=%d offset=%d len=%d (%v)", mv.Depth, mv.Offset, mv.Length, mv.Value)
	}

class ContributorsResults(BaseModel):
    contributors: Counter[str]
    translation_reviewers: Counter[str]
    translators: Counter[str]
    authors: dict[str, Author]


def get_contributors(pr_nodes: list[PullRequestNode]) -> ContributorsResults:
    contributors = Counter[str]()
    translation_reviewers = Counter[str]()
    translators = Counter[str]()
    authors: dict[str, Author] = {}

          echo "Database initialized successfully";
          break;
        fi;
        echo "Waiting for database to be ready... ($$counter/12)";
        sleep 5;
        counter=$$(($$counter + 1));
      done;
      # timeout handling
      if [ $$counter -gt 20 ]; then
        echo "Error: Database failed to start within timeout";
        exit 1;
      fi;

  annotations: {{- toYaml .Values.consoleService.annotations | nindent 4 }}
  {{- end }}
spec:
  type: {{ .Values.consoleService.type }}
  {{- if and (eq .Values.consoleService.type "ClusterIP") .Values.consoleService.clusterIP }}
  clusterIP: {{ .Values.consoleService.clusterIP }}
  {{- end }}
  {{- if or (eq .Values.consoleService.type "LoadBalancer") (eq .Values.consoleService.type "NodePort") }}

    return graphql_response.data.repository.discussions.edges


class DiscussionExpertsResults(BaseModel):
    commenters: Counter[str]
    last_month_commenters: Counter[str]
    three_months_commenters: Counter[str]
    six_months_commenters: Counter[str]
    one_year_commenters: Counter[str]
    authors: dict[str, Author]


def get_discussion_nodes(settings: Settings) -> list[DiscussionsNode]:

      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        builder.add(counter.getAndIncrement());
      }
    },
    ADD_ARRAY {
      @Override
      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        long[] array = new long[random.nextInt(10)];
        for (int i = 0; i < array.length; i++) {
          array[i] = counter.getAndIncrement();
        }
        builder.addAll(array);