[-] Remove unused numpy file

hyfetch/color_scale_numpy.py

@@ -1,71 +0,0 @@
-from __future__ import annotations
-
-import numpy as np
-from numpy import ndarray
-
-from .color_util import RGB
-
-
-def create_gradient_hex(colors: list[str], resolution: int = 300) -> ndarray:
-    """
-    Create gradient array from hex
-    """
-    colors = np.array([RGB.from_hex(s) for s in colors])
-    return create_gradient(colors, resolution)
-
-
-def create_gradient(colors: ndarray, resolution: int) -> ndarray:
-    """
-    Create gradient 2d array.
-
-    Usage: arr[ratio / len(arr), :] = Scaled gradient color at that point
-    """
-    result = np.zeros((resolution * (len(colors) - 1), 3), dtype='uint8')
-
-    # Create gradient mapping
-    for i in range(len(colors) - 1):
-        c1 = colors[i, :]
-        c2 = colors[i + 1, :]
-        bi = i * resolution
-
-        for r in range(resolution):
-            ratio = r / resolution
-            result[bi + r, :] = c2 * ratio + c1 * (1 - ratio)
-
-    return result
-
-
-def get_raw(gradient: ndarray, ratio: float) -> ndarray:
-    """
-    :param gradient: Gradient array (2d)
-    :param ratio: Between 0-1
-    :return: RGB subarray (1d, has 3 values)
-    """
-    if ratio == 1:
-        return gradient[-1, :]
-
-    i = int(ratio * len(gradient))
-    return gradient[i, :]
-
-
-class Scale:
-    colors: ndarray
-    rgb: ndarray
-
-    def __init__(self, scale: list[str], resolution: int = 300):
-        self.colors = np.array([RGB.from_hex(s) for s in scale])
-        self.rgb = create_gradient(self.colors, resolution)
-
-    def __call__(self, ratio: float) -> RGB:
-        """
-        :param ratio: Between 0-1
-        """
-        return RGB(*get_raw(self.rgb, ratio))
-
-
-def test_color_scale():
-    scale = Scale(['#232323', '#4F1879', '#B43A78', '#F98766', '#FCFAC0'])
-
-    colors = 100
-    for i in range(colors + 1):
-        print(scale(i / colors).to_ansi_rgb(False), end=' ')