// filter out all the user provided schemes (as they are not registered) but
// subsequent instantiations would return all registered schemes (since the
// vector with the user provided schemes is cleared).
static std::vector<std::string>* GetSchemesFromUserOrEnv() {
  std::vector<std::string>* all_schemes = new std::vector<std::string>;
  tensorflow::Status status =

  TF_GraphGetOpDef(graph, "MyFakeOp", buffer, status);
  EXPECT_EQ(TF_NOT_FOUND, TF_GetCode(status));
  ExpectHasSubstr(TF_Message(status),
                  "Op type not registered 'MyFakeOp' in binary");

  TF_DeleteBuffer(buffer);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(status);
}

void StringVectorToArrays(const std::vector<string>& v,

  if (entry != GetFactories().end()) {
    default_factory = GetFactories().find(name)->second;
    return absl::OkStatus();
  }
  string msg = absl::StrCat(
      "No tracing engine factory has been registered with the key '", name,
      "' (available: ");
  // Ensure deterministic (sorted) order in the error message
  std::set<string> factories_sorted;
  for (const auto& factory : GetFactories())

  TF_FilesystemPluginInfo info;
  TF_InitPlugin(&info);
  Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info);
  if (!status.ok()) {
    VLOG(0) << "Static POSIX filesystem could not be registered: " << status;
    return false;
  }
  return true;
}

// Perform the actual registration
static bool unused = StaticallyRegisterLocalFilesystems();

                                                     const char* name,
                                                     TF_Status* status);

// Checks whether a function is registered under `name`.
TF_CAPI_EXPORT unsigned char TFE_ContextHasFunction(TFE_Context* ctx,
                                                    const char* name);

# Hermetic Python

Hermetic Python allows not to rely on system-installed Python, and
system-installed Python packages. \
Instead, an independent Python toolchain is registered, ensuring the right
dependencies are always used. \
See https://github.com/bazelbuild/rules_python/ for more details.

### Specifying the Python version

Note: Only a number of minor Python versions are supported at any given time.

// devices, so executing tf.functions which contain operations placed on the
// custom devices will fail.
//
// `device_name` must not name an existing physical or custom device. It must
// follow the format:
//
//    /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num>
//
// If the device is successfully registered, `status` is set to TF_OK. Otherwise

  virtual CustomDeviceOpHandler& GetCustomDeviceOpHandler() = 0;

  // Returns whether `device_name` is registered as a custom device.
  virtual bool IsCustomDevice(const string& device_name) = 0;

  // Register a custom device. It will return error is the device name is
  // already registered.
  // TODO(tfrt-devs): Remove this method. Let caller register it directly into
  // CustomDeviceOpHandler.

// gradients.
//
// `ZerosLike` is not expected to be called and returns a nullptr. The creation
// of default zeros grads is handled by the `DefaultGradientFunction` registered
// for each op.
// TODO(srbs): We need to define `ZerosLike` here to keep the compiler happy.
// Figure out a way to avoid this.
// TODO(srbs): Should ZerosLike check-fail instead of returning nullptr?

  ///
  /// A filesystem is registered for a specific scheme and all of the methods
  /// should work with URIs. Hence, each filesystem needs to be able to
  /// translate from an URI to a path on the filesystem. For example, this
  /// function could translate `fs:///path/to/a/file` into `/path/to/a/file`, if
  /// implemented by a filesystem registered to handle the `fs://` scheme.
  ///