from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2

  TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(ctx));
  if (!tracing_ctx) {
    tsl::Set_TF_Status_from_Status(
        s, tensorflow::errors::InvalidArgument(
               "Only TracingContext can be converted into a function."));
    return nullptr;
  }
  tsl::Set_TF_Status_from_Status(s,
                                 tracing_ctx->Finalize(unwrap(outputs), &func));
  TF_DeleteExecutionContext(ctx);

    }


    /**
     * @param to
     * @param from
     */
    protected static void cloneInternal ( NtlmPasswordAuthentication to, NtlmPasswordAuthentication from ) {
        to.context = from.context;
        if ( from.hashesExternal ) {
            to.hashesExternal = true;
            to.ansiHash = from.ansiHash != null ? Arrays.copyOf(from.ansiHash, from.ansiHash.length) : null;

			wantResult: `{"_1":1}`,
		},
		{
			name:       "cast_from_int_to_float",
			query:      `SELECT cast(1 as float) FROM S3Object LIMIT 1`,
			wantResult: `{"_1":1}`,
		},
		{
			name:       "cast_from_float_to_float",
			query:      `SELECT cast(1.0 as float) FROM S3Object LIMIT 1`,
			wantResult: `{"_1":1}`,
		},
		{
			name:       "arithmetic_integer_operand",

```

!!! note "Technical Details"
    You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

    **FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request`.

## Override the default exception handlers

    return Arrays.copyOf(empty, length);
  }

  /** Equivalent to Arrays.copyOfRange(source, from, to, arrayOfType.getClass()). */
  static <T> T[] copy(Object[] source, int from, int to, T[] arrayOfType) {
    T[] result = newArray(arrayOfType, to - from);
    System.arraycopy(source, from, result, 0, to - from);
    return result;
  }

  // TODO(user): Move this logic to a utility class.

     * {@link RemoteRepository#getUrl()} root.
     *
     * @throws RuntimeException If PUT fails for any reason.
     */
    void put(@Nonnull Path source, @Nonnull URI relativeTarget);

    /**
     * PUTs the source byte array to target URI. The target MUST BE relative from the
     * {@link RemoteRepository#getUrl()} root.
     *

This is because we also have another variable named `router` in the submodule `users`.

If we had imported one after the other, like:

```Python
from .routers.items import router
from .routers.users import router
```

the `router` from `users` would overwrite the one from `items` and we wouldn't be able to use them at the same time.

So, to be able to use both of them in the same file, we import the submodules directly:

from fastapi.testclient import TestClient
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

from ..database import Base
from ..main import app, get_db

SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db"

engine = create_engine(
    SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
)
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

and control, on terms that prohibit them from making any copies of
your copyrighted material outside their relationship with you.

  Conveying under any other circumstances is permitted solely under
the conditions stated below.  Sublicensing is not allowed; section 10
makes it unnecessary.

  3. Protecting Users' Legal Rights From Anti-Circumvention Law.