org.gradle.caching=true
org.gradle.jvmargs='-Dfile.encoding=UTF-8'
org.gradle.parallel=true
android.enableJetifier=true
android.useAndroidX=true
kotlin.mpp.stability.nowarn=true
kotlin.js.compiler=ir
kotlin.incremental.js.ir=true
androidBuild=false
graalBuild=false
loomBuild=false
containerTests=false

	keepLock:
		for {
			select {
			case <-ctx.Done():
				return
			case <-lkctx.Context().Done():
				// The context of the lock is canceled, this can happen
				// if one lock lost quorum due to cluster instability
				// in that case, try to lock again.
				break keepLock
			case ld.lockContext <- lkctx:
				// Send the lock context to anyone asking for it
			}
		}
	}
}

To **deploy** an application means to perform the necessary steps to make it **available to the users**.

For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.

// the datatype for boolean tensors.
#ifndef TF_Bool
#define TF_Bool unsigned char
#endif  // TF_Bool

// Macro used to calculate struct size for maintaining ABI stability across
// different struct implementations.
#ifndef TF_OFFSET_OF_END
#define TF_OFFSET_OF_END(TYPE, MEMBER) \
  (offsetof(TYPE, MEMBER) + sizeof(((TYPE *)0)->MEMBER))
#endif  // TF_OFFSET_OF_END

Compression happens inflight, i.e objects are compressed before being written to disk(s).
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.