From 10630bbfa7400702cae621139b25435bfd48cf20 Mon Sep 17 00:00:00 2001
From: MarionBWeinzierl <mw925@cam.ac.uk>
Date: Thu, 20 Jul 2023 09:48:17 +0100
Subject: [PATCH] deleted obsolete regression code for #58

---
 .../regression/functions.py                   | 81 -------------------
 1 file changed, 81 deletions(-)
 delete mode 100644 src/gz21_ocean_momentum/regression/functions.py

diff --git a/src/gz21_ocean_momentum/regression/functions.py b/src/gz21_ocean_momentum/regression/functions.py
deleted file mode 100644
index 36260769..00000000
--- a/src/gz21_ocean_momentum/regression/functions.py
+++ /dev/null
@@ -1,81 +0,0 @@
-import numpy as np
-from data.pangeo_catalog import get_grid
-
-# grid_cm26 = get_grid()
-
-# This defines standard functions used for sparse regression
-
-
-def bz(velocity: np.ndarray):
-    """
-    Return the BZ parameterization
-    """
-    # TODO not efficient to do this every call
-    grid = (
-        grid_cm26.interp(dict(xu_ocean=velocity.xu_ocean, yu_ocean=velocity.yu_ocean))
-        * 4
-    )
-    velocity = velocity / 10
-    zeta = (
-        velocity["vsurf"].diff(dim="xu_ocean") / grid["dxu"]
-        - velocity["usurf"].diff(dim="yu_ocean") / grid["dyu"]
-    )
-    d = (
-        velocity["usurf"].diff(dim="yu_ocean") / grid["dyu"]
-        + velocity["vsurf"].diff(dim="xu_ocean") / grid["dxu"]
-    )
-    d_tilda = (
-        velocity["usurf"].diff(dim="xu_ocean") / grid["dxu"]
-        - velocity["vsurf"].diff(dim="yu_ocean") / grid["dyu"]
-    )
-    zeta_sq = zeta**2
-    s_x = (zeta_sq - zeta * d).diff(dim="xu_ocean") / grid["dxu"] + (
-        zeta * d_tilda
-    ).diff(dim="yu_ocean") / grid["dyu"]
-    s_y = (zeta * d_tilda).diff(dim="xu_ocean") / grid["dxu"] + (
-        zeta_sq + zeta * d
-    ).diff(dim="yu_ocean") / grid["dyu"]
-    k_bt = -4.87 * 1e8
-    s_x, s_y = s_x * 1e7 * k_bt, s_y * 1e7 * k_bt
-    return s_x, s_y
-
-
-def zeta(velocity: np.ndarray):
-    grid = (
-        grid_cm26.interp(dict(xu_ocean=velocity.xu_ocean, yu_ocean=velocity.yu_ocean))
-        * 4
-    )
-    velocity = velocity / 10
-    zeta = (
-        velocity["vsurf"].diff(dim="xu_ocean") / grid["dxu"]
-        - velocity["usurf"].diff(dim="yu_ocean") / grid["dyu"]
-    )
-    return zeta * 1e7
-
-
-def d(velocity: np.ndarray):
-    grid = (
-        grid_cm26.interp(dict(xu_ocean=velocity.xu_ocean, yu_ocean=velocity.yu_ocean))
-        * 4
-    )
-    d = (
-        velocity["usurf"].diff(dim="yu_ocean") / grid["dyu"]
-        + velocity["vsurf"].diff(dim="xu_ocean") / grid["dxu"]
-    )
-    return d * 1e7
-
-
-def d_tilda(velocity: np.ndarray):
-    grid = (
-        grid_cm26.interp(dict(xu_ocean=velocity.xu_ocean, yu_ocean=velocity.yu_ocean))
-        * 4
-    )
-    d_tilda = (
-        velocity["usurf"].diff(dim="xu_ocean") / grid["dxu"]
-        - velocity["vsurf"].diff(dim="yu_ocean") / grid["dyu"]
-    )
-    return d_tilda * 1e7
-
-
-def laplacian(velocity: np.ndarray):
-    pass