# Path: android_env/components/action_type.py
# class ActionType(enum.IntEnum):
#   TOUCH = 0
#   LIFT = 1
#   REPEAT = 2
# 
# Path: android_env/components/utils.py
# def touch_position_to_pixel_position(
#     touch_position: np.ndarray,
#     width_height: Sequence[int],
# ) -> Tuple[int, int]:
# def transpose_pixels(frame: np.ndarray) -> np.ndarray:
# def orient_pixels(
#     frame: np.ndarray,
#     orientation: adb_pb2.AdbCall.Rotate.Orientation) -> np.ndarray:


import time
import android_env
import dm_env
import numpy as np
import pygame
from typing import Any, Dict
from absl import app
from absl import flags
from absl import logging
from android_env.components import action_type
from android_env.components import utils
from android_env.proto import adb_pb2
from android_env.proto import task_pb2
    scaled_pos[0] = 1 - scaled_pos[0]
  return scaled_pos


def _accumulate_reward(
    timestep: dm_env.TimeStep,
    episode_return: float) -> float:
  """Accumulates rewards collected over the course of an episode."""

  if timestep.reward and timestep.reward != 0:
    logging.info('Reward: %s', timestep.reward)
    episode_return += timestep.reward

  if timestep.first():
    episode_return = 0
  elif timestep.last():
    logging.info('Episode return: %s', episode_return)

  return episode_return


def _render_pygame_frame(
    surface: pygame.Surface,
    screen: pygame.Surface,
    orientation: adb_pb2.AdbCall.Rotate.Orientation,
    timestep: dm_env.TimeStep) -> None:
  """Displays latest observation on pygame surface."""

  frame = timestep.observation['pixels'][:, :, :3]  # (H x W x C) (RGB)
  frame = utils.transpose_pixels(frame)  # (W x H x C)

# Path: android_env/components/action_type.py
# class ActionType(enum.IntEnum):
#   TOUCH = 0
#   LIFT = 1
#   REPEAT = 2
# 
# Path: android_env/components/utils.py
# def touch_position_to_pixel_position(
#     touch_position: np.ndarray,
#     width_height: Sequence[int],
# ) -> Tuple[int, int]:
# def transpose_pixels(frame: np.ndarray) -> np.ndarray:
# def orient_pixels(
#     frame: np.ndarray,
#     orientation: adb_pb2.AdbCall.Rotate.Orientation) -> np.ndarray:


# Path: examples/run_human_agent.py
import time
import android_env
import dm_env
import numpy as np
import pygame
from typing import Any, Dict
from absl import app
from absl import flags
from absl import logging
from android_env.components import action_type
from android_env.components import utils
from android_env.proto import adb_pb2
from android_env.proto import task_pb2

    scaled_pos[0] = 1 - scaled_pos[0]
  return scaled_pos


def _accumulate_reward(
    timestep: dm_env.TimeStep,
    episode_return: float) -> float:
  """Accumulates rewards collected over the course of an episode."""

  if timestep.reward and timestep.reward != 0:
    logging.info('Reward: %s', timestep.reward)
    episode_return += timestep.reward

  if timestep.first():
    episode_return = 0
  elif timestep.last():
    logging.info('Episode return: %s', episode_return)

  return episode_return


def _render_pygame_frame(
    surface: pygame.Surface,
    screen: pygame.Surface,
    orientation: adb_pb2.AdbCall.Rotate.Orientation,
    timestep: dm_env.TimeStep) -> None:
  """Displays latest observation on pygame surface."""

  frame = timestep.observation['pixels'][:, :, :3]  # (H x W x C) (RGB)
  frame = utils.transpose_pixels(frame)  # (W x H x C)

  frame = utils.orient_pixels(frame, orientation)