{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *
 * <p>To use a reference of this type (say, named {@code guavaPredicate}) in a context where {@code
 * java.util.function.Predicate} is expected, use the method reference {@code

}

verbose() { :; }
[ "${MVNW_VERBOSE-}" != true ] || verbose() { printf %s\\n "${1-}"; }

die() {
  printf %s\\n "$1" >&2
  exit 1
}

trim() {
  # MWRAPPER-139:
  #   Trims trailing and leading whitespace, carriage returns, tabs, and linefeeds.
  #   Needed for removing poorly interpreted newline sequences when running in more
  #   exotic environments such as mingw bash on Windows.

	for site in sitea siteb; do
		echo "$site server logs ========="
		cat "/tmp/${site}_1.log"
		echo "==========================="
		cat "/tmp/${site}_2.log"
	done

	exit 1
}

cleanup() {
	echo -n "Cleaning up instances of MinIO ..."
	pkill -9 minio || sudo pkill -9 minio
	rm -rf /tmp/sitea
	rm -rf /tmp/siteb
	echo "done"
}

cleanup

export MINIO_CI_CD=1
export MINIO_BROWSER=off

make install-race

    private
    val daemonPids = ConcurrentHashMap.newKeySet<String>()

    private
    val logger = Logging.getLogger(DaemonTracker::class.java)

    override fun close() {
        logger.lifecycle("Cleaning up daemons...")
        cleanUpDaemons()
    }

    fun newDaemonListener() =
        object : TestListener {
            override fun beforeTest(test: TestDescriptor) = Unit

* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient.Builder()
          .certificatePinner(
              CertificatePinner.Builder()

        // to also check that position.getIndex() == value.length() otherwise parsing might have
        // terminated early, ignoring things like "+01:00". Leaving this as != 0 means that any
        // trailing junk is ignored.
        return result
      }
    }
  }
  return null
}

/** Returns the string for this date. */

    }
    return dummy;
  }

  /**
   * Only appends delimiter if the accumulated string is non-empty. Note: this isn't a candidate
   * implementation for Joiner since it fails on leading empty components.
   */
  @Benchmark
  int stringBuilderIsEmpty(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      StringBuilder sb = new StringBuilder();