@Override
    public DBDef assistCurrentDBDef() {
        // TODO Auto-generated method stub
        return null;
    }

    @Override
    public DataSource assistDataSource() {
        // TODO Auto-generated method stub
        return null;
    }

    @Override
    public DBMetaProvider assistDBMetaProvider() {
        // TODO Auto-generated method stub
        return null;
    }

    @Override

  if (TF_GetCode(status) != TF_OK) return -1;
  auto stream = gcs_file->gcs_client.ReadObject(
      bucket, object, gcs::ReadRange(offset, offset + buffer_size));
  TF_SetStatusFromGCSStatus(stream.status(), status);
  if ((TF_GetCode(status) != TF_OK) &&
      (TF_GetCode(status) != TF_OUT_OF_RANGE)) {
    return -1;
  }
  int64_t read;
  auto content_length = stream.headers().find("content-length");

}

void TF_CloseWritableFile(TF_WritableFileHandle* handle, TF_Status* status) {
  auto* cc_file = reinterpret_cast<::tensorflow::WritableFile*>(handle);
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Set_TF_Status_from_Status(status, cc_file->Close());
  delete cc_file;
}

void TF_SyncWritableFile(TF_WritableFileHandle* handle, TF_Status* status) {
  auto* cc_file = reinterpret_cast<::tensorflow::WritableFile*>(handle);

        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(self, request: Request) -> Optional[str]:
        authorization = request.headers.get("Authorization")
        if not authorization:
            if self.auto_error:
                raise HTTPException(
                    status_code=HTTP_403_FORBIDDEN, detail="Not authenticated"

  return new TFE_Executor(&tensorflow::unwrap(ctx)->Executor());
}

void TFE_HostAddressSpace(TFE_Context* ctx, TF_Buffer* buf) {
  auto address_space = tensorflow::DeviceNameUtils::AddressSpace(
      tensorflow::unwrap(ctx)->HostCPUParsedName());
  auto str = tensorflow::DeviceNameUtils::ParsedNameToString(address_space);
  void* data = tensorflow::port::Malloc(str.length());

  out->clear();
  out->resize(n, 0);
  TF_Status status;
  auto bytes_transferred =
      cache->Read(filename, offset, n, out->data(), &status);
  if (bytes_transferred >= 0) {
    EXPECT_LE(bytes_transferred, n);
    out->resize(bytes_transferred, n);
  }
  return status.status;
}

TEST(RamFileBlockCacheTest, IsCacheEnabled) {
  auto fetcher = [](const string& filename, size_t offset, size_t n,

                    <mxGeometry relative="1" as="geometry"/>
                </mxCell>
                <mxCell id="20" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;endArrow=none;endFill=0;strokeWidth=3;" parent="1" source="11" target="18" edge="1">

**/testData/** linguist-vendored
*Generated.java linguist-generated=true
*.kt.txt linguist-language=Kotlin
* text=auto
* eol=lf
*.png binary
*.jar binary
compiler/cli/bin/* eol=lf
compiler/cli/bin/*.bat eol=crlf
gradlew.bat eol=crlf

    int64_t op_id = op_id_it->second;
    auto op_it = op_tape->find(op_id);
    auto result_op_it = result.op_tape.find(op_id);
    if (op_id == -1 || op_it == op_tape->end() ||
        result_op_it != result.op_tape.end()) {
      continue;
    }
    CHECK(result.op_tape.emplace(op_id, op_it->second).second);
    for (auto it : op_it->second.input_tensor_id) {
      auto count_it = result.tensor_usage_counts.find(it);

                    <mxGeometry x="710" y="-50" width="300" height="80" as="geometry"/>
                </mxCell>
                <mxCell id="8" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;strokeWidth=3;exitX=0.092;exitY=1.01;exitDx=0;exitDy=0;dashed=1;exitPerimeter=0;" parent="1" edge="1">
                    <mxGeometry relative="1" as="geometry">
                        <Array as="points">