package gradlebuild.docs.dsl.source.model;

import gradlebuild.docs.model.Attachable;
import gradlebuild.docs.model.ClassMetaDataRepository;
import org.apache.commons.lang.StringUtils;
import org.gradle.api.Action;
import org.gradle.api.Transformer;
import org.gradle.util.GUtil;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;

import com.google.errorprone.annotations.InlineMe;
import com.google.j2objc.annotations.J2ObjCIncompatible;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.io.OutputStreamWriter;

import org.gradle.api.provider.Provider;
import org.gradle.api.tasks.PathSensitivity;
import org.gradle.api.tasks.SourceSetContainer;
import org.gradle.api.tasks.Sync;
import org.gradle.api.tasks.TaskContainer;
import org.gradle.api.tasks.TaskInputs;
import org.gradle.api.tasks.TaskProvider;
import org.gradle.language.base.plugins.LifecycleBasePlugin;
import org.ysb33r.grolifant.api.core.jvm.ExecutionMode;

import java.util.ArrayList;

Mas você também deseja aceitar novos itens. E quando os itens não existiam, ele os cria, e retorna o código de status HTTP 201 "Created.

Para conseguir isso, importe `JSONResponse` e retorne o seu conteúdo diretamente, definindo o `status_code` que você deseja:

//// tab | Python 3.10+

```Python hl_lines="4  25"
{!> ../../docs_src/additional_status_codes/tutorial001_an_py310.py!}
```

# module.

# pylint: disable=g-bad-import-order
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They

 */
package okhttp3

import java.net.MalformedURLException
import java.net.URI
import java.net.URISyntaxException
import java.net.URL
import okhttp3.HttpUrl.Companion.toHttpUrl
import okhttp3.HttpUrl.Companion.toHttpUrlOrNull
import okhttp3.internal.canParseAsIpAddress
import okhttp3.internal.delimiterOffset
import okhttp3.internal.indexOfFirstNonAsciiWhitespace
import okhttp3.internal.indexOfLastNonAsciiWhitespace

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | "Detalhes Técnicos"

Você também pode usar `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

        }
    };

    /**
     * The tag used to denote an effective dependency management section from an imported model.
     */
    ModelCacheTag<DependencyManagement> IMPORT = new ModelCacheTag<DependencyManagement>() {

        @Override
        public String getName() {
            return "import";
        }

        @Override
        public Class<DependencyManagement> getType() {

``` hl_lines="5"
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

Because this file is in the same package, you can use relative imports to import the object `app` from the `main` module (`main.py`):

```Python hl_lines="3"
{!../../docs_src/app_testing/test_main.py!}
```

...and have the code for the tests just like before.

it compiles into a shared object (.so) that is dynamically linked into
any 6.out that imports the first two files.

The stanza

	// #include <gmp.h>
	import "C"

is a signal to cgo.  The doc comment on the import of "C" provides
additional context for the C file.  Here it is just a single #include
but it could contain arbitrary C definitions to be imported and used.

Cgo recognizes any use of a qualified identifier C.xxx and uses gcc to