package configurations

import common.Arch
import common.BuildToolBuildJvm
import common.Jvm
import common.KillProcessMode.KILL_ALL_GRADLE_PROCESSES
import common.KillProcessMode.KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS
import common.KillProcessMode.KILL_PROCESSES_STARTED_BY_GRADLE
import common.Os
import common.VersionedSettingsBranch
import common.applyDefaultSettings
import common.buildToolGradleParameters

    }

    @Test
    fun `can apply defaults to configurations`() {
        applyDefaults(buildModel, buildType, "myTask")

        assertEquals(
            listOf(
                "KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS",
                "GRADLE_RUNNER",
                "KILL_PROCESSES_STARTED_BY_GRADLE",
                "CHECK_CLEAN_M2_ANDROID_USER_HOME"
            ),
            steps.items.map(BuildStep::name)

    if (!v2_reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, v2_reader_->status());
      return;
    }
    auto result = BuildV2VarMaps();
    var_to_shape_map_.swap(result.first);
    var_to_data_type_map_.swap(result.second);
  } else {
    reader_.reset(new TensorSliceReader(filename));
    if (!reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, reader_->status());
      return;
    }

int ParallelTensorNumDims(void* data, TF_Status* status) {
  const std::vector<int64_t>* shape;
  Status s = reinterpret_cast<ParallelTensor*>(data)->Shape(&shape);
  if (!s.ok()) {
    tsl::Set_TF_Status_from_Status(status, s);
    return -1;
  }
  return shape->size();
}

// Used as an argument to TFE_NewCustomDeviceTensorHandle, for computing a
// dimension of a parallel tensor.

          ->LookUpOpDef(name, &op_def_ptr);
  if (!s.ok()) {
    tsl::Set_TF_Status_from_Status(status, s);
    return;
  }

  s = tensorflow::MessageToBuffer(*op_def_ptr, buf);
  if (!s.ok()) {
    tsl::Set_TF_Status_from_Status(status, s);
    return;
  }

    )
    from pydantic.schema import (
        field_schema,
        get_flat_models_from_fields,
        get_model_name_map,
        model_process_schema,
    )
    from pydantic.schema import (  # type: ignore[no-redef]  # noqa: F401
        get_annotation_from_field_info as get_annotation_from_field_info,
    )
    from pydantic.typing import (  # type: ignore[no-redef]

      question=question,
      yes_reply=yes_reply,
      no_reply=no_reply,
      bazel_config_name='download_clang')


def get_from_env_or_user_or_default(environ_cp, var_name, ask_for_var,
                                    var_default):
  """Get var_name either from env, or user or default.

  If var_name has been set as environment variable, use the preset value, else

)
if exist "%FILE_ARG%\*" (
  set "POM_DIR=%FILE_ARG%"
) else (
  call :get_directory_from_file "%FILE_ARG%"
)
if not exist "%POM_DIR%" (
  echo Directory "%POM_DIR%" extracted from the -f/--file command-line argument "%FILE_ARG%" does not exist >&2
  goto error
)
set "WDIR=%POM_DIR%"
goto findBaseDir

:get_directory_from_file
set "POM_DIR=%~dp1"
:stripPomDir
if not "_%POM_DIR:~-1%"=="_\" goto pomDirStripped

errors.target_file_does_not_exist={0} file does not exist.
errors.failed_to_delete_file=Failed to delete {0} file.
errors.docid_not_found=Not found Doc ID:{0}
errors.document_not_found=Not found URL of Doc ID:{0}
errors.not_load_from_server=Could not load from this server: {0}
errors.failed_to_start_job=Failed to start job {0}.
errors.failed_to_stop_job=Failed to stop job {0}.
errors.failed_to_download_synonym_file=Failed to download the Synonym file.

errors.failed_to_change_password=Failed to change your password.
errors.unknown_version_for_upgrade=Unknown version information.
errors.failed_to_upgrade_from=Failed to upgrade from {0}: {1}
errors.failed_to_reindex=Failed to start reindexing from {0} to {1}
errors.failed_to_read_request_file=Failed to read request file: {0}
errors.invalid_header_for_request_file=Invalid header: {0}