fi

# Create and expand to the full path of TFCI_OUTPUT_DIR
export TFCI_OUTPUT_DIR=$(realpath "$TFCI_OUTPUT_DIR")
mkdir -p "$TFCI_OUTPUT_DIR"

# In addition to dumping all script output to the terminal, place it into
# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run

   * that no character encoding is performed; the low byte and high byte of each {@code char} are
   * hashed directly (in that order).
   *
   * <p><b>Warning:</b> This method will produce different output than most other languages do when
   * running the same hash function on the equivalent input. For cross-language compatibility, use
   * {@link #hashString}, usually with a charset of UTF-8. For other use cases, use {@code

   * that no character encoding is performed; the low byte and high byte of each {@code char} are
   * hashed directly (in that order).
   *
   * <p><b>Warning:</b> This method will produce different output than most other languages do when
   * running the same hash function on the equivalent input. For cross-language compatibility, use
   * {@link #hashString}, usually with a charset of UTF-8. For other use cases, use {@code

    "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:wheel
to a banned CUDA dependency. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "Pip package doesn't depend on CUDA for static builds (i.e. Windows)" {
  bazel cquery \

package provider

import (
	"encoding/json"
	"errors"
	"fmt"
	"net/http"
	"net/url"
	"path"
	"strings"
	"sync"
)

// Token - parses the output from IDP id_token.
type Token struct {
	AccessToken string `json:"access_token"`
	Expiry      int    `json:"expires_in"`
}

// KeycloakProvider implements Provider interface for KeyCloak Identity Provider.

                        }
                        val outputPrefix = if (file.startsWith("/META-INF/versions")) {
                            // Java 9 multi-release JAR entry, we must keep it nested in the output
                            file.subpath(0, 3).toString()
                        } else {
                            ""
                        }

Puedes aprender cómo <a href="https://heyapi.dev/openapi-ts/get-started" class="external-link" target="_blank">instalar `@hey-api/openapi-ts`</a> y leer sobre el <a href="https://heyapi.dev/openapi-ts/output" class="external-link" target="_blank">output generado</a> en su sitio web.

### Usar el SDK { #using-the-sdk }

Ahora puedes importar y usar el código del cliente. Podría verse así, nota que tienes autocompletado para los métodos:

Bu "başka bir şey için bekle" normalde, aşağıdakileri beklemek gibi (işlemcinin ve RAM belleğinin hızına kıyasla) nispeten "yavaş" olan <abbr title="Input ve Output (Giriş ve Çıkış)">I/O</abbr> işlemlerine atıfta bulunur:

* istemci tarafından ağ üzerinden veri göndermek
* ağ üzerinden istemciye gönderilen veriler
* sistem tarafından okunacak ve programınıza verilecek bir dosya içeriği

          null
        }
      }
    }

    /**
     * Returns a new unbuffered output stream to write the value at [index]. If the underlying
     * output stream encounters errors when writing to the filesystem, this edit will be aborted
     * when [commit] is called. The returned output stream does not throw IOExceptions.
     */
    fun newSink(index: Int): Sink {
      synchronized(this@DiskLruCache) {

Depois, ele 🤖 pega a primeira tarefa para finalizar (vamos dizer, nosso "arquivo lento" 📝) e continua o que tem que fazer com ela.

Esse "esperar por algo" normalmente se refere a operações <abbr title="Input and Output – Entrada e Saída">I/O</abbr> que são relativamente "lentas" (comparadas à velocidade do processador e da memória RAM), como esperar por:

* dados do cliente para serem enviados através da rede