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    ij                   	   @  s   d Z ddlmZ ddlmZmZ ddlmZ ddlmZ ddl	m
Z
mZmZ ejZeeeee
d  f Zejdd	d
dddddddddddZddddddddZdS )zInterpolate utils.    )annotations)TupleUnion)checking)numpy_utils)Array	ArrayLike
FloatArraydF)strict.)axisxnpzArray['*d']z!Tuple[_MinMaxValue, _MinMaxValue]intznumpy_utils.NpModulezFloatArray['*d'])xfrom_tor   r   returnc                  s^   |dkrt dt fdd|D }t fdd|D }tg ||R  \}}||  | S )a  Linearly scale the given value by the given range.

  Somehow similar to `np.interp` or `scipy.interpolate.inter1d` with some
  differences like support scaling an axis by a different factors and
  extrapolate values outside the boundaries.

  `from_` and `to` are expected to be `(min, max)` tuples and the function
  interpolate between the two ranges.

  Example: Normalizing a uint8 image to `(-1, 1)`.

  ```python
  img = jnp.array([
      [0, 0],
      [127, 255],
  ])
  img = enp.interp(img, (0, 255), (0, 1))
  img == jnp.array([
      [-1, -1],
      [0.498..., 1],
  ])
  ```

  `min` and `max` can be either float values or array like structure, in which
  case the numpy broadcasting rules applies (x should be a `Array[... d]` and
  min/max values should be `Array[d]`.

  Example: Converting normalized 3d coordinates to world coordinates.

  ```python
  coords = enp.interp(coords, from_=(-1, 1), to=(0, (h, w, d)))
  ```

  * `coords[:, 0]` is interpolated from `(-1, 1)` to `(0, h)`
  * `coords[:, 1]` is interpolated from `(-1, 1)` to `(0, w)`
  * `coords[:, 2]` is interpolated from `(-1, 1)` to `(0, d)`

  Args:
    x: Array to scale
    from_: Range of x.
    to: Range to which normalize x.
    axis: Axis on which normalizing. Only relevant if `from_` or `to` items
      contains range value.
    xnp: Numpy module to use

  Returns:
    Float tensor with same shape as x, but with normalized coordinates.
  r   z@Only last axis supported for now. Please send a feature request.c                 3  s   | ]}  |V  qd S NZasarray.0vr    T/home/ghrups/robot-bench/.venv/lib/python3.9/site-packages/etils/enp/interp_utils.py	<genexpr>i       zinterp.<locals>.<genexpr>c                 3  s   | ]}  |V  qd S r   r   r   r   r   r   r   j   r   )NotImplementedErrortuple_linear_interp_factors)r   r   r   r   r   abr   r   r   interp   s    Br#   _MinMaxValuezCTuple[Union[float, FloatArray['d']], Union[float, FloatArray['d']]])old_minold_maxnew_minnew_maxr   c                 C  s0   || | |  }| | ||  | |  }||fS )z=Resolve the `y = a * x + b` equation and returns the factors.r   )r%   r&   r'   r(   r!   r"   r   r   r   r    q   s    r    N)__doc__
__future__r   typingr   r   Z	etils.enpr   r   Zetils.enp.typingr   r   r	   Zlazyr   floatr$   Zcheck_and_normalize_arraysr#   r    r   r   r   r   <module>   s   
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