- Remove deprecated `--generator, --replicas, --service-generator, --service-overrides, --schedule` from `kubectl run`
  Deprecate `--serviceaccount, --hostport, --requests, --limits` in `kubectl run` ([#99732](https://github.com/kubernetes/kubernetes/pull/99732), [@soltysh](https://github.com/soltysh))

### En un Servidor Remoto

Cuando configuras un servidor remoto (un servidor en la nube, una máquina virtual, etc.) lo más sencillo que puedes hacer es usar `fastapi run` (que utiliza Uvicorn) o algo similar, manualmente, de la misma manera que lo haces al desarrollar localmente.

Y funcionará y será útil **durante el desarrollo**.

		}
	}
}

// Benchmarks for ObjectLayer.PutObject().
// The intent is to benchmark PutObject for various sizes ranging from few bytes to 100MB.
// Also each of these Benchmarks are run both Erasure and FS backends.

// BenchmarkPutObjectVerySmallFS - Benchmark FS.PutObject() for object size of 10 bytes.
func BenchmarkPutObjectVerySmallFS(b *testing.B) {
	benchmarkPutObject(b, "FS", 10)
}

#
# This file is autogenerated by pip-compile with Python 3.13
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.3.0 \
    --hash=sha256:9824a48b654a306168f63e0d97714665f8490b8d89ec7bf2efc24bf67cf579b3 \
    --hash=sha256:d96fda5c884f1b22178852f30ffa85766d50b99e00775ea626c23304f582fc4f
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

hosts: # - chart-example.local ## Node labels for pod assignment ## Ref: https://kubernetes.io/docs/user-guide/node-selection/ ## nodeSelector: {} tolerations: [] affinity: {} ## Add stateful containers to have security context, if enabled MinIO will run as this ## user and group NOTE: securityContext is only enabled if persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels:...

### Em um servidor remoto

Ao configurar um servidor remoto (um servidor em nuvem, uma máquina virtual, etc.), a coisa mais simples que você pode fazer é usar `fastapi run` (que usa Uvicorn) ou algo semelhante, manualmente, da mesma forma que você faz ao desenvolver localmente.

E funcionará e será útil **durante o desenvolvimento**.

			b.Read(buf[:1])
			b.Write(buf[:1])
		}
	}
}

func BenchmarkBufferWriteBlock(b *testing.B) {
	block := make([]byte, 1024)
	for _, n := range []int{1 << 12, 1 << 16, 1 << 20} {
		b.Run(fmt.Sprintf("N%d", n), func(b *testing.B) {
			b.ReportAllocs()
			for i := 0; i < b.N; i++ {
				var bb Buffer
				for bb.Len() < n {
					bb.Write(block)
				}
			}
		})
	}
}

		{"arm64", arm64OperandTests},
		{"ppc64", ppc64OperandTests},
		{"mips", mipsOperandTests},
		{"mips64", mips64OperandTests},
		{"loong64", loong64OperandTests},
		{"s390x", s390xOperandTests},
	} {
		t.Run(sub.arch, func(t *testing.T) {
			parser := newParser(sub.arch)
			for _, test := range sub.tests {
				parser.start(lex.Tokenize(test.input))
				name, _, ok := parser.funcAddress()

#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

hosts: # - chart-example.local ## Node labels for pod assignment ## Ref: https://kubernetes.io/docs/user-guide/node-selection/ ## nodeSelector: {} tolerations: [] affinity: {} ## Add stateful containers to have security context, if enabled MinIO will run as this ## user and group NOTE: securityContext is only enabled if persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels:...