cases := []struct {
		file            string
		recordDelimiter string
		fieldDelimiter  string
		header          bool
		wantColumns     []string
		wantTenFields   string
		totalFields     int
	}{
		{
			file:            "nyc-taxi-data-100k.csv",
			recordDelimiter: "\n",
			fieldDelimiter:  ",",
			header:          true,

	reader, err := sio.DecryptReader(client, sio.Config{
		Key:            objectEncryptionKey,
		SequenceNumber: seqNumber,
		CipherSuites:   fips.DARECiphers(),
	})
	if err != nil {
		return nil, crypto.ErrInvalidCustomerKey
	}
	return reader, nil
}

// DecryptBlocksRequestR - same as DecryptBlocksRequest but with a
// reader

        verifyToken(this::asUploadHtml);
        CommonPoolUtil.execute(() -> {
            try (Reader reader = new BufferedReader(new InputStreamReader(form.badWordFile.getInputStream(), getCsvEncoding()))) {
                badWordService.importCsv(reader);
                suggestHelper.storeAllBadWords(false);
            } catch (final Exception e) {

  return result;
}

int64_t TFE_MonitoringReadCounter0(TFE_MonitoringCounterReader* cell_reader) {
  int64_t result = cell_reader->Read();

  return result;
}

int64_t TFE_MonitoringReadCounter1(TFE_MonitoringCounterReader* cell_reader,
                                   const char* label) {
  int64_t result = cell_reader->Read(label);

  return result;

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/gradients/grad_test_helper.h"

#include "tensorflow/c/eager/gradient_checker.h"
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace gradients {

{
  "fess_config.request_header" : {
    "aliases" : { },
    "mappings" : {
      "request_header" : {
        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "name" : {
            "type" : "keyword"
          },
          "updatedBy" : {
            "type" : "keyword"
          },
          "updatedTime" : {

from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyHeader(name="key")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")
def read_current_user(current_user: User = Depends(get_current_user)):
    return current_user


client = TestClient(app)

limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.h"

#include <errno.h>
#include <fcntl.h>
#include <limits.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>

Chef <******@****.***> 1709605377 +0700

app = FastAPI()

api_key = APIKeyHeader(name="key", auto_error=False)


class User(BaseModel):
    username: str


def get_current_user(oauth_header: Optional[str] = Security(api_key)):
    if oauth_header is None:
        return None
    user = User(username=oauth_header)
    return user


@app.get("/users/me")
def read_current_user(current_user: Optional[User] = Depends(get_current_user)):
    if current_user is None: