import org.jetbrains.kotlin.analysis.api.symbols.markers.KtSymbolKind
import org.jetbrains.kotlin.analysis.api.symbols.markers.KtSymbolWithKind
import org.jetbrains.kotlin.analysis.low.level.api.fir.compile.isForeignValue
import org.jetbrains.kotlin.analysis.low.level.api.fir.providers.jvmClassNameIfDeserialized
import org.jetbrains.kotlin.analysis.low.level.api.fir.sessions.llFirSession

 * limitations under the License.
 */
package gradlebuild.jvm.extension

import org.gradle.api.tasks.TaskContainer
import org.gradle.api.tasks.compile.JavaCompile
import org.gradle.kotlin.dsl.*


/**
 * Strict compilation options honored by [gradlebuild.Strict_compile_gradle].
 */
abstract class StrictCompileExtension(val tasks: TaskContainer) {

    fun ignoreDeprecations() {

            // Because the file to compile may be contained in a "common" multiplatform module, an `expect` declaration doesn't necessarily
            // have an obvious associated `actual` symbol. `shouldStubOrphanedExpectSymbols` generates stubs for such `expect` declarations.
            shouldStubOrphanedExpectSymbols = true,

            startAnotherThread()
          }

          return readyTask
        }

        // Notify the coordinator of a task that's coming up soon.
        coordinatorWaiting -> {
          if (minDelayNanos < coordinatorWakeUpAt - now) {
            backend.coordinatorNotify(this@TaskRunner)
          }
          return null
        }

            onDependencyFailure = FailureAction.FAIL_TO_START
            onDependencyCancel = FailureAction.FAIL_TO_START
        }
    }
}

fun Dependencies.compileAllDependency(compileAllId: String) {
    // Compile All has to succeed before anything else is started
    dependsOn(RelativeId(compileAllId))
    // Get the build receipt from sanity check to reuse the timestamp
    artifacts(RelativeId(compileAllId)) {

    *   Argument `jit_compile` in `Model.compile()` now applies to
        `Model.evaluate()` and `Model.predict()`. Setting `jit_compile=True` in
        `compile()` compiles the model's training, evaluation, and inference
        steps to [XLA](https://www.tensorflow.org/xla). Note that
        `jit_compile=True` may not necessarily work for all models.

    return burgers
```

With `async def`, Python knows that, inside that function, it has to be aware of `await` expressions, and that it can "pause" ⏸ the execution of that function and go do something else 🔀 before coming back.

When you want to call an `async def` function, you have to "await" it. So, this won't work:

```Python
# This won't work, because get_burgers was defined with: async def
burgers = get_burgers(2)
```

    * Automatic and clear errors when the data is invalid.
    * Validation even for deeply nested JSON objects.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.

# limitations under the License.
# ==============================================================================
#
# Changes the behavior in pycpp.sh from "run all tests" to "verify that all
# tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test
# execution is too expensive.
TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1

debugging information with `--config=dbg`, as issues occur on Linux if
there is too much debug info (see [this GitHub
issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If
you want to debug a kernel, you can compile specific files with `-g` using the
`--per_file_copt` bazel option. For example, if you want to debug the Identity
op, which are in files starting with `identity_op`, you can run

```bash