remove pad to match functions

docs/source/tutorials/extending_pyrenew.qmd

@@ -168,7 +168,7 @@ InfFeedbackSample = namedtuple(
 )
 ```
 
-The next step is to create the actual class. The bulk of its implementation lies in the function `pyrenew.latent.compute_infections_from_rt_with_feedback()`. We will also use the `pyrenew.arrayutils.pad_x_to_match_y()` function to ensure the passed vectors match their lengths. The following code-chunk shows most of the implementation of the `InfectionsWithFeedback` class:
+The next step is to create the actual class. The bulk of its implementation lies in the function `pyrenew.latent.compute_infections_from_rt_with_feedback()`. We will also use the `pyrenew.arrayutils.pad_edges_to_match()` function to ensure the passed vectors match their lengths. The following code-chunk shows most of the implementation of the `InfectionsWithFeedback` class:
 
 ```{python}
 # | label: new-model-def
@@ -224,11 +224,10 @@ class InfFeedback(RandomVariable):
 
         inf_feedback_strength = jnp.atleast_1d(inf_feedback_strength)
 
-        inf_feedback_strength = au.pad_x_to_match_y(
+        inf_feedback_strength = au.pad_edges_to_match(
             x=inf_feedback_strength,
             y=Rt,
-            fill_value=inf_feedback_strength[0],
-        )
+        )[0]
 
         # Sampling inf feedback and adjusting the shape
         inf_feedback_pmf = self.infection_feedback_pmf(**kwargs)

pyrenew/arrayutils.py

@@ -68,94 +68,6 @@ def pad_edges_to_match(
     return x, y
 
 
-def pad_to_match(
-    x: ArrayLike,
-    y: ArrayLike,
-    fill_value: float = 0.0,
-    pad_direction: str = "end",
-    fix_y: bool = False,
-) -> tuple[ArrayLike, ArrayLike]:
-    """
-    Pad the shorter array at the start or end to match the length of the longer array.
-
-    Parameters
-    ----------
-    x : ArrayLike
-        First array.
-    y : ArrayLike
-        Second array.
-    fill_value : float, optional
-        Value to use for padding, by default 0.0.
-    pad_direction : str, optional
-        Direction to pad the shorter array, either "start" or "end", by default "end".
-    fix_y : bool, optional
-        If True, raise an error when `y` is shorter than `x`, by default False.
-
-    Returns
-    -------
-    tuple[ArrayLike, ArrayLike]
-        Tuple of the two arrays with the same length.
-    """
-    x = jnp.atleast_1d(x)
-    y = jnp.atleast_1d(y)
-    x_len = x.size
-    y_len = y.size
-    pad_size = abs(x_len - y_len)
-
-    pad_width = {"start": (pad_size, 0), "end": (0, pad_size)}.get(
-        pad_direction, None
-    )
-
-    if pad_width is None:
-        raise ValueError(
-            "pad_direction must be either 'start' or 'end'."
-            f" Got {pad_direction}."
-        )
-
-    if x_len > y_len:
-        if fix_y:
-            raise ValueError(
-                "Cannot fix y when x is longer than y."
-                f" x_len: {x_len}, y_len: {y_len}."
-            )
-        y = jnp.pad(y, pad_width, constant_values=fill_value)
-
-    elif y_len > x_len:
-        x = jnp.pad(x, pad_width, constant_values=fill_value)
-
-    return x, y
-
-
-def pad_x_to_match_y(
-    x: ArrayLike,
-    y: ArrayLike,
-    fill_value: float = 0.0,
-    pad_direction: str = "end",
-) -> ArrayLike:
-    """
-    Pad the `x` array at the start or end to match the length of the `y` array.
-
-    Parameters
-    ----------
-    x : ArrayLike
-        First array.
-    y : ArrayLike
-        Second array.
-    fill_value : float, optional
-        Value to use for padding, by default 0.0.
-    pad_direction : str, optional
-        Direction to pad the shorter array, either "start" or "end", by default "end".
-
-    Returns
-    -------
-    Array
-        Padded array.
-    """
-    return pad_to_match(
-        x, y, fill_value=fill_value, pad_direction=pad_direction, fix_y=True
-    )[0]
-
-
 class PeriodicProcessSample(NamedTuple):
     """
     A container for holding the output from `process.PeriodicProcess()`.