// 1. Server reads request and dequeues first response
      // 2. Client cancels request
      // 3. Server tries to send response on the canceled stream
      // Otherwise, there is no guarantee for the sequence. For example, the server may use the
      // first mocked response to respond to the second request.
      val response = super.dispatch(request)
      responseDequeuedLatches[responseIndex].countDown()

		"-c",          // do not link
		"-xc",         // input language is C
	)
	if p.GccIsClang {
		c = append(c,
			"-ferror-limit=0",
			// Apple clang version 1.7 (tags/Apple/clang-77) (based on LLVM 2.9svn)
			// doesn't have -Wno-unneeded-internal-declaration, so we need yet another
			// flag to disable the warning. Yes, really good diagnostics, clang.

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

es) feature allows any existing storage driver that supports dynamic provisioning to be used as an ephemeral volume with the volume’s lifecycle bound to the Pod. It can be used to provide scratch storage that is different from the root disk, for example persistent memory, or a separate local disk on that node. All StorageClass parameters for volume provisioning are supported. All features supported with PersistentVolumeClaims are supported, such as storage capacity tracking, snapshots and restore,...

	// Calculate the waitInterval between periodic refreshes so that each server
	// independently picks a (uniformly distributed) random time in an interval
	// of size = baseInterval.
	//
	// For example:
	//
	//    - if baseInterval=10s, then 5s <= waitInterval() < 15s
	//
	//    - if baseInterval=10m, then 5m <= waitInterval() < 15m
	waitInterval := func() time.Duration {

The new `multiPoint` plugin field is intended to simplify most scheduler setups for administrators.
Plugins that are enabled via `multiPoint` will automatically be registered for each individual extension point that they implement.
For example, a plugin that implements Score and Filter extensions can be simultaneously enabled for both.
This means entire plugins can be enabled and disabled without having to manually edit individual extension point settings.

公式サイトで以下のように言われているのは、それが理由です。

> Requestsは今までで最もダウンロードされたPythonパッケージである

使い方はとても簡単です。例えば、`GET`リクエストを実行するには、このように書けば良いです:

```Python
response = requests.get("http://example.com/some/url")
```

対応するFastAPIのパスオペレーションはこのようになります:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements
     * for this with respect to reads.
     *

     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements
     * for this with respect to reads.
     *

			}
			opts.claims[k] = v
		}
	} else if globalIAMSys.LDAPConfig.Enabled() {
		// In case of LDAP we need to resolve the targetUser to a DN and
		// query their groups:
		opts.claims[ldapUserN] = targetUser // simple username
		var lookupResult *xldap.DNSearchResult
		lookupResult, targetGroups, err = globalIAMSys.LDAPConfig.LookupUserDN(targetUser)
		if err != nil {
			writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)