Mujoco_WASM/python/mujoco/indexers.h

// Copyright 2022 DeepMind Technologies Limited
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#ifndef MUJOCO_PYTHON_INDEXERS_H_
#define MUJOCO_PYTHON_INDEXERS_H_

#include <optional>
#include <string>
#include <string_view>
#include <utility>
#include <variant>
#include <vector>

#include <absl/container/flat_hash_map.h>
#include <mjxmacro.h>
#include "indexer_xmacro.h"
#include "mjdata_meta.h"
#include "raw.h"
#include <pybind11/numpy.h>
#include <pybind11/pybind11.h>

namespace mujoco::python {
using NameToIDMap = absl::flat_hash_map<std::string, int>;

struct NameToIDMaps {
  // M is either a raw::MjModel or MjDataMetadata.
  template <typename M>
  explicit NameToIDMaps(const M& m);

  NameToIDMap body;
  NameToIDMap jnt;
  NameToIDMap geom;
  NameToIDMap site;
  NameToIDMap cam;
  NameToIDMap light;
  NameToIDMap mesh;
  NameToIDMap skin;
  NameToIDMap hfield;
  NameToIDMap tex;
  NameToIDMap mat;
  NameToIDMap pair;
  NameToIDMap exclude;
  NameToIDMap eq;
  NameToIDMap tendon;
  NameToIDMap actuator;
  NameToIDMap sensor;
  NameToIDMap numeric;
  NameToIDMap text;
  NameToIDMap tuple;
  NameToIDMap key;
};


// Base class for a collection of NumPy views into mjModel fields associated
// with the same "entity" (for example, fields corresponding to a particular
// geom, or a particular joint).
class MjModelGroupedViewsBase {
 public:
  MjModelGroupedViewsBase(int index, raw::MjModel* m,
                          pybind11::handle owner)
      : index_(index), m_(m), owner_(owner) {}

 protected:
  int index_;
  raw::MjModel* m_;
  pybind11::handle owner_;
};

#define XGROUP(MjModelGroupedViews, field, nfield, FIELD_XMACROS) \
  class MjModelGroupedViews : public MjModelGroupedViewsBase {    \
   public:                                                        \
    using MjModelGroupedViewsBase::MjModelGroupedViewsBase;       \
    FIELD_XMACROS                                                 \
  };

// Lazily instantiate a NumPy array view object when accessed from Python, but
// cache it once made so that we can return the same one if requested again.
#define X(type, prefix, var, dim0, dim1)         \
  pybind11::array_t<type> var();                 \
  std::optional<pybind11::array_t<type>> var##_;

MJMODEL_VIEW_GROUPS

#undef XGROUP
#undef X

// A class for accessing fields corresponding to a single mjModel "entity"
// (e.g. a particular geom or joint) either by name or by ID.
class MjModelIndexer {
 public:
  MjModelIndexer(raw::MjModel* m, pybind11::handle owner);

#define XGROUP(MjModelGroupedViews, field, nfield, FIELD_XMACROS) \
  MjModelGroupedViews& field(int i);                              \
  MjModelGroupedViews& field##_by_name(std::string_view name);

  MJMODEL_VIEW_GROUPS
#undef XGROUP

 private:
  raw::MjModel* m_;
  pybind11::handle owner_;
  NameToIDMaps name_to_id_;

  // Lazily instantiate a grouped views object when accessed from Python, but
  // cache it once made so that we can return the same one if requested again.
#define XGROUP(MjModelGroupedViews, field, nfield, FIELD_XMACROS) \
  std::vector<std::optional<MjModelGroupedViews>> field##_;

  MJMODEL_VIEW_GROUPS
#undef XGROUP
};

// Base class for a collection of NumPy views into mjData fields associated
// with the same "entity" (for example, fields corresponding to a particular
// geom, or a particular joint).
class MjDataGroupedViewsBase {
 public:
  MjDataGroupedViewsBase(int index, raw::MjData* d,
                         const MjDataMetadata* m,
                         pybind11::handle owner)
      : index_(index), d_(d), m_(m), owner_(owner) {}

 protected:
  int index_;
  raw::MjData* d_;
  const MjDataMetadata* m_;
  pybind11::handle owner_;
};

#define XGROUP(MjDataGroupedViews, field, nfield, FIELD_XMACROS) \
  class MjDataGroupedViews : public MjDataGroupedViewsBase {     \
   public:                                                       \
    using MjDataGroupedViewsBase::MjDataGroupedViewsBase;        \
    FIELD_XMACROS                                                \
  };

// Lazily instantiate a NumPy array view object when accessed from Python, but
// cache it once made so that we can return the same one if requested again.
#define X(type, prefix, var, dim0, dim1)         \
  pybind11::array_t<type> var();                 \
  std::optional<pybind11::array_t<type>> var##_;

MJDATA_VIEW_GROUPS

#undef XGROUP
#undef X

// A class for accessing fields corresponding to a single mjModel "entity"
// (e.g. a particular geom or joint) either by name or by ID.
class MjDataIndexer {
 public:
  MjDataIndexer(raw::MjData* d, const MjDataMetadata* m,
                pybind11::handle owner);

#define XGROUP(MjDataGroupedViews, field, nfield, FIELD_XMACROS) \
  MjDataGroupedViews& field(int i);                              \
  MjDataGroupedViews& field##_by_name(std::string_view name);

  MJDATA_VIEW_GROUPS
#undef XGROUP

 private:
  raw::MjData* d_;
  const MjDataMetadata* m_;
  pybind11::handle owner_;
  NameToIDMaps name_to_id_;

  // Lazily instantiate a grouped views object when accessed from Python, but
  // cache it once made so that we can return the same one if requested again.
#define XGROUP(MjDataGroupedViews, field, nfield, FIELD_XMACROS) \
  std::vector<std::optional<MjDataGroupedViews>> field##_;

  MJDATA_VIEW_GROUPS
#undef XGROUP
};
}  // namespace mujoco::python

#endif  // MUJOCO_PYTHON_INDEXERS_H_