TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
# TODO: Set back to 610M once the wheel size is fixed.

**Provide the text output from tflite_convert**

```
# Copy and paste here
```

**Standalone code to reproduce the issue** 
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.

Also, please include a link to a GraphDef or the model if possible.

**Any other info / logs**

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build ignore

// Compute Fibonacci numbers with two goroutines
// that pass integers back and forth.  No actual
// concurrency, just threads and synchronization
// and foreign code on multiple pthreads.

package main

import (
	big "."
	"runtime"
)

		return
	}

	listObjectVersions := objectAPI.ListObjectVersions

	// Initiate a list object versions operation based on the input params.
	// On success would return back ListObjectsInfo object to be
	// marshaled into S3 compatible XML header.
	listObjectVersionsInfo, err := listObjectVersions(ctx, bucket, prefix, marker, versionIDMarker, delimiter, maxkeys)
	if err != nil {

    protected ResourceUtil() {
        // nothing
    }

    /**
     * Gets the HTTP URL for the OpenSearch (Fesen) server.
     * First checks for a system-configured search engine address,
     * then falls back to the URL configured in FessConfig.
     *
     * @return the HTTP URL for the OpenSearch server
     */
    public static String getFesenHttpUrl() {
        final String url = SystemUtil.getSearchEngineHttpAddress();

    @Test
    public void testCleanup() throws Exception {
        // Allocate some regions from the pool and then release them back
        RdmaMemoryRegion region1 = bufferManager.getSendRegion(1024);
        RdmaMemoryRegion region2 = bufferManager.getReceiveRegion();

        // Release the regions back to the pool before cleanup
        bufferManager.releaseSendRegion(region1);
        bufferManager.releaseReceiveRegion(region2);

.ipynb_checkpoints

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy

Então, com uma URL assim:

```
http://localhost:8000/items/?q=foo&q=bar
```

você receberá os múltiplos *parâmetros de consulta* `q` com os valores (`foo` e `bar`) em uma lista (`list`) Python dentro da *função de operação de rota*, no *parâmetro da função* `q`.

Assim, a resposta para essa URL seria:

```JSON
{
  "q": [
    "foo",
    "bar"
  ]
}
```

/// tip | Dica

        // Extract the encoded part
        String extractedEncoded = fullFieldName.substring(Constants.FACET_FIELD_PREFIX.length());
        assertEquals(encodedFieldName, extractedEncoded);

        // Decode back to original
        String extractedFieldName = new String(BaseEncoding.base64().decode(extractedEncoded), StandardCharsets.UTF_8);
        assertEquals(originalFieldName, extractedFieldName);
    }

            if (dirManager != null && smbFile.getContext().getConfig().isUseDirectoryLeasing()) {
                return listFilesWithDirectoryLeasing(smbFile, dirManager);
            } else {
                // Fall back to regular directory listing
                return smbFile.listFiles();
            }
        } catch (CIFSException e) {
            throw SmbException.wrap(e);
        }
    }

    /**