return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {
    // Make a copy so that we can mutate it.

// license that can be found in the LICENSE file.

package bufio

import (
	"bytes"
	"errors"
	"io"
	"unicode/utf8"
)

// Scanner provides a convenient interface for reading data such as
// a file of newline-delimited lines of text. Successive calls to
// the [Scanner.Scan] method will step through the 'tokens' of a file, skipping
// the bytes between the tokens. The specification of a token is

		}
	}

	contentBytes, err := io.ReadAll(resp.Body)
	if err != nil {
		return content, AdminError{
			Code:       AdminUpdateUnexpectedFailure,
			Message:    fmt.Sprintf("Error reading response. %s", err),
			StatusCode: http.StatusInternalServerError,
		}
	}

	return string(contentBytes), nil
}

func releaseInfoToReleaseTime(releaseInfo string) (releaseTime time.Time, err error) {

„Kontextmanager“ (Englisch „Context Manager“) sind bestimmte Python-Objekte, die Sie in einer `with`-Anweisung verwenden können.

Beispielsweise können Sie <a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">`with` verwenden, um eine Datei auszulesen</a>:

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Na sobrescrita da dependência definimos um novo valor para `admin_email` ao criar o novo objeto `Settings`, e então retornamos esse novo objeto.

Depois podemos testar que ele é usado.

## Lendo um arquivo `.env` { #reading-a-env-file }

Se você tiver muitas configurações que possivelmente mudam bastante, talvez em diferentes ambientes, pode ser útil colocá-las em um arquivo e então lê-las como se fossem variáveis de ambiente.

    editor.commit()
  }

  @Test
  fun `Windows cannot write while reading`() {
    Assumptions.assumeTrue(windows)

    set("k1", "a", "a")
    val snapshot = cache["k1"]!!
    assertThat(cache.edit("k1")).isNull()
    snapshot.close()
  }

  @Test
  fun `can read while reading`() {
    set("k1", "a", "a")
    cache["k1"]!!.use { snapshot1 ->

		if s3Error != testCase.s3Error {
			if _, err := io.ReadAll(testCase.req.Body); toAPIErrorCode(ctx, err) != testCase.s3Error {
				t.Fatalf("Test %d: Unexpected S3 error: want %d - got %d (got after reading request %s)", i, testCase.s3Error, s3Error, toAPIError(ctx, err).Code)
			}
		}
	}
}

func TestCheckAdminRequestAuthType(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

		ContentType: mime.TypeByExtension(filepath.Ext(object)),
	}

	var rc io.ReadCloser

	if file.UncompressedSize64 > 0 {
		// There may be number of header bytes before the content.
		// Reading 64K extra. This should more than cover name and any "extra" details.
		end := min(file.Offset+int64(file.CompressedSize64)+64<<10, zipObjInfo.Size)
		rs := &HTTPRangeSpec{Start: file.Offset, End: end}

   * body. This was misleading for tracing because it was too early.
   */
  open fun responseBodyStart(call: Call) {
  }

  /**
   * Invoked immediately after receiving a response body and completing reading it.
   *
   * Will only be invoked for requests having a response body e.g. won't be invoked for a web socket
   * upgrade.
   *

	if err != nil {
		return "", fmt.Errorf("request err: %v", err)
	}
	// {
	// 	bodyBuf, err := io.ReadAll(resp.Body)
	// 	if err != nil {
	// 		return "", fmt.Errorf("Error reading body: %v", err)
	// 	}
	// 	fmt.Printf("bodyBuf (for LDAP login page): %s\n", string(bodyBuf))
	// }

	// Fill the login form with our test creds:
	// fmt.Printf("login form url: %s\n", lastReq.URL.String())